diff --git "a/test.csv" "b/test.csv"
new file mode 100644--- /dev/null
+++ "b/test.csv"
@@ -0,0 +1,18642 @@
+text,output,prompt
+BNI enggak menyediakan jalur teller khusus kliring giro / cek .Padahal kliring giro / cek ada batas waktu nya .Payah !,"<service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller>
+<general>Payah</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Teller Mandiri yang baru ini ribet sekali .,<service-teller>Teller ribet sekali</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"kalau lo mau setor lewat teller ke rekening Mandiri yang bukan punya lo , pakai formulir transfer / kliring .Repot , ya",<service-teller>setor teller Repot</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Tidur di depan meja teller UOB .lama banget nih,<service-teller>teller lama banget</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pelayananan nya lama dan teller sama CS - nya sepertinya enggak menguasai produk,"<service-cs>Pelayananan nya lama CS sepertinya enggak menguasai produk</service-cs>
+<service-teller>Pelayananan nya lama teller sepertinya enggak menguasai produk</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Mbak-mbak teller di uob lama banget input data gue :(,<service-teller>teller lama banget input data</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Teller Bank BCA cabang mana nih tahu resek banget ih .,<service-teller>Teller resek banget ih</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Edan nih bank permata , teller banyak begini tetap saja lama","<general>Edan</general>
+<service-teller>teller banyak lama</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ya ampun mengantre di Teller bank permata sudah 1 jam lama benar ( yang mengantre banyak teller - nya cuma 1 setengah ),<service-teller>mengantre Teller sudah 1 jam lama benar</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pindah permata donk .Di sini antrean teller enggak lebih dari 8 menit lo : D jadi enggak usah antre lama,<service-teller>antrean teller enggak lebih dari 8 menit lo : D jadi enggak usah antre lama</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Teller bank Permata ini aneh , suka mengeluh dan LAMA kalau saya mau transfer LLG !Bukan salah saya dong kalau sistem Permata tidak EFISIEN !","<service-teller>Teller aneh , suka mengeluh LAMA transfer LLG</service-teller>
+<general>tidak EFISIEN</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bank Permata Semeru teller antre nya panjang .Juga terlalu banyak bicara .Lama sekali .,<service-teller>teller antre panjang terlalu banyak bicara . Lama sekali</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@permata bank ciputat .padahal sepi tetapi lama banget pelayanan nya karena teller cuma satu,<service-teller>sepi tetapi lama banget pelayanan nya teller cuma satu</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+menunggu teller bank permata lama banget sampai ketiduran .,<service-teller>teller lama banget sampai ketiduran</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pelayanan teller bank permata payah .lama banget !,<service-teller>teller payah . lama banget</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@CIMBNiaga Bank dengan antrean CS paling lama sejagat raya dunia angkasa raya tanpa batas,<service-cs>antrean CS paling lama sejagat raya dunia angkasa raya tanpa batas</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@CIMBNiaga CS CIMB Niaga pelayanan nya lama,<service-cs>CS pelayanan nya lama</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@CIMBNiaga pelayanan CS niaga lama banget melayani 1 nasabah bisa 20 sampai 30 menit tolong dipercepat dong,<service-cs>CS lama banget</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ribet banget cs niaga enggak tahu apa-apa kalau ditanya enggak kayak cs bca / mega,<service-cs>Ribet banget cs enggak tahu apa-apa kalau ditanya enggak kayak cs /</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Terharu CS & Satpam bank Mandiri baik banget .Gue lagi mau antre teller bank , tetapi mbak CS menyuruh pak satpam berdiri di antrean buat gantikan gue antre .","<service-cs>CS baik banget</service-cs>
+<service-satpam>Satpam baik banget</service-satpam>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Mandiri dari dahulu gue enggak suka Karyawan nya mau cso mau teller kerja nya malas .,"<service-karyawan>enggak suka Karyawan</service-karyawan>
+<service-cs>cso kerja nya malas</service-cs>
+<service-teller>teller kerja nya malas</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Customer Service & Teller di Bank Mandiri Epicentrum Walk oke banget .Disamping baik , gesit & pintar-pintar , juga sangat membantu & memudahkan .","<service-cs>Customer Service oke banget baik , gesit & pintar-pintar , juga sangat membantu & memudahkan</service-cs>
+<service-teller>Teller oke banget baik , gesit & pintar-pintar , juga sangat membantu & memudahkan</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA Gue mau buka cek dan giro saja ribet sekali,<service-cs>buka cek dan giro ribet sekali</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@HaloBCA BCA kartu kredit menyusahkan !Waktu mau ditutup kata nya enggak perlu karena biaya tahunan bisa pengajuan untuk enggak bayar , sekarang ribet !",<product-kartu kredit>kartu kredit menyusahkan ditutup ribet</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Hati-hati dengan KKB BCA , sudah klaim asuransi CSI - nya Susah berbelit-belit , Mau telepon haloBCA untuk perpanjangan STNK juga Ribet , kecewa berat .","<product-KKB>KKB klaim asuransi Susah berbelit-belit perpanjangan STNK Ribet , kecewa berat</product-KKB>
+<service-haloBCA>telepon haloBCA</service-haloBCA>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA admin pengajuan kkb bca sulit dan proses nya ribet,<product-KKB>pengajuan kkb sulit dan proses nya ribet</product-KKB>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@HaloBCA call center sekarang panggilan premium , mahal pulsa nya : D",<service-haloBCA>call center panggilan premium mahal pulsa nya</service-haloBCA>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA saya lihat di mesin atm bca sudah ada alat untuk RFID yang bisa digunakan untuk kartu flazz ; tetapi tidak dimanfaatkan .Kalau top up flazz jadi ribet harus keluar masukkan kartu atm dahulu .,"<facility-atm>mesin atm sudah ada alat untuk RFID tidak dimanfaatkan</facility-atm>
+<product-flazz>top up flazz ribet</product-flazz>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Kartu Flazz tertelan di mesin ATM .Telepon HaloBCA kok enggak memberi solusi ya ?Malah dibikin ribet .Huh,"<product-flazz>Flazz tertelan di mesin ATM</product-flazz>
+<service-haloBCA>Telepon HaloBCA enggak memberi solusi ya ? Malah dibikin ribet</service-haloBCA>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA proses KPR dan pencairan pinjaman dana bisa jadi berbelit,"<product-KPR>proses KPR bisa jadi berbelit</product-KPR>
+<product-pinjaman>pencairan pinjaman dana bisa jadi berbelit</product-pinjaman>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+telemarketing bca ganggu banget asli menelepon terus setiap hari !,<service-telemarketing>telemarketing ganggu banget asli menelepon terus setiap hari</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+keren banget telemarketing bca bisa menjelaskan produk dengan baik .,<service-telemarketing>keren banget telemarketing bisa menjelaskan produk dengan baik</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Sumpah ya pengen marah sama telemarketing bca yang bertele-tele .,<service-telemarketing>pengen marah telemarketing bertele-tele</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+pengen lapor polisi gara-gara telemarketing bca ganggu setiap hari dan tidak mengenal waktu !,<service-telemarketing>pengen lapor polisi telemarketing ganggu setiap hari dan tidak mengenal waktu</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Gara-gara telemarketing nya ramah , jadi tertarik sama BCA .",<service-telemarketing>telemarketing ramah</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Bank Mandiri itu memang yang terburuk pelayanan nya , terutama Kantor Cabang dan Teller nya","<service-teller>terburuk pelayanan nya Teller</service-teller>
+<service-kantor cabang>terburuk pelayanan nya Kantor Cabang</service-kantor cabang>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Selalu senang tiap ke kantor cabang bca , pelayanan nya ramah dan cepat .",<service-kantor cabang>Selalu senang kantor cabang pelayanan nya ramah dan cepat</service-kantor cabang>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"sampah banget sih kantor cabang BRI , lama dan tidak profesional .",<service-kantor cabang>sampah banget kantor cabang lama dan tidak profesional</service-kantor cabang>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Menunggu tiga jam di kantor cabang Mandiri , keterlaluan !",<service-kantor cabang>Menunggu tiga jam kantor cabang keterlaluan</service-kantor cabang>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Kantor BCA Rawamangun adem banget ya , jadi betah .","<facility-kantor>Kantor adem banget ya , jadi betah</facility-kantor>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Setiap ke kantor BCA Sudirman selalu disambut ramah oleh satpam nya , parkiran nya juga luas banget .","<facility-kantor>kantor parkiran luas banget</facility-kantor>
+<service-satpam>ramah satpam</service-satpam>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Kantor BNI Cibadak toilet cuma satu , jadi antre nya sepanjang naga .","<facility-kantor>Kantor toilet cuma satu , jadi antre nya sepanjang naga</facility-kantor>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@MNCBank pembayaran kartu kredit MNC bank itu ribet ya , sudah transfer via internet banking danamon enggak diproses .Melalui klikBCA pun enggak bisa .",<product-kartu kredit>pembayaran kartu kredit ribet</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Gak jelas banget promo klikPay bca sama blibli , enggak percaya lagi deh promo macam begini",<facility-klikpay>Gak jelas banget promo klikPay enggak percaya lagi deh promo macam begini</facility-klikpay>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Tiap mau masuk klikbca selalu saja gagal , payah .","<facility-klikbca>masuk klikbca selalu saja gagal , payah</facility-klikbca>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"transfer via m - bca gagal terus nih , haduh !",<facility-m-bca>transfer m - bca gagal terus</facility-m-bca>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"ini klikpay apa-apaan ya , di tengah transaksi tiba-tiba keluar sendiri , bikin marah !","<facility-klikpay>klikpay di tengah transaksi tiba-tiba keluar sendiri , bikin marah</facility-klikpay>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+selalu saja tiap mau bayar belanjaan mesin edc bca sedang eror .,<facility-EDC>bayar mesin edc eror</facility-EDC>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+sudah tiga minggu mesin edc saya belum juga diantar .,<facility-EDC>sudah tiga minggu mesin edc saya belum juga diantar</facility-EDC>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+ATM BCA terlalu sedikit untuk kota sebesar Sukabumi .,<facility-atm>ATM terlalu sedikit</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+ATM BCA selalu mengeluarkan uang yang lusuh dan jelek .,<facility-atm>ATM selalu mengeluarkan uang yang lusuh dan jelek</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Wah , sekarang ATM BCA sudah banyak yang setor tunai , senang nya !",<facility-atm>ATM sudah banyak setor tunai senang nya</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+ATM setor tunai BCA sangat membantu ku dalam keseharian .,<facility-atm>ATM setor tunai sangat membantu ku dalam keseharian</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Mohon maaf ini e - channel bca eror terus sepanjang hari , bangkrut saja sekalian !","<facility-e-channel>e - channel eror terus sepanjang hari , bangkrut saja sekalian</facility-e-channel>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+percuma ada banyak e - channel jika semuanya tidak berjalan dengan baik .,<facility-e-channel>percuma ada banyak e - channel semuanya tidak berjalan dengan baik</facility-e-channel>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+E - channel BCA sangat banyak dan membantu setiap transaksi ku .,<facility-e-channel>E - channel sangat banyak dan membantu setiap transaksi ku</facility-e-channel>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Terima kasih BCA untuk e - channel yang selalu memudahkan nasabah .,<facility-e-channel>e - channel selalu memudahkan nasabah</facility-e-channel>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+mau masuk BCA Mobile dari pagi gagal terus .,<facility-BCA Mobile>masuk BCA Mobile gagal terus</facility-BCA Mobile>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Sampah banget BCA Mobile , sering keluar di saat sedang transaksi .",<facility-BCA Mobile>Sampah banget BCA Mobile sering keluar di saat sedang transaksi</facility-BCA Mobile>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bahagia nya belanja menggunakan klikpay bca .,<facility-klikpay>Bahagia nya belanja klikpay</facility-klikpay>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Klikpay bca selalu memudahkan setiap transaksi .,<facility-klikpay>Klikpay selalu memudahkan setiap transaksi</facility-klikpay>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Percuma promo klikpay banyak , kalau setiap transaksi gagal terus .",<facility-klikpay>promo klikpay banyak transaksi gagal terus</facility-klikpay>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Deposit box di BCA Margonda masih sangat kurang .,<facility-deposit box>Deposit box masih sangat kurang</facility-deposit box>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Sungguh kecewa dan tidak bisa percaya lagi dengan fasilitas deposit box bca .,<facility-deposit box>Sungguh kecewa dan tidak bisa percaya lagi deposit box</facility-deposit box>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Di BCA Sukamurni belum ada deposit box .,<facility-deposit box>belum ada deposit box</facility-deposit box>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+BCA keren banget sih .,<general>keren banget</general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bangga banget sama pelayanan bca yang selalu mengedepankan kepentingan nasabah .,<service-general>Bangga banget pelayanan selalu mengedepankan kepentingan nasabah</service-general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Payah betul BCA , pelayanan tidak ada bagus-bagus nya sama sekali .","<general>Payah betul</general>
+<service-general>pelayanan tidak ada bagus-bagus nya sama sekali</service-general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+BCA benar-benar Bank Capek Antre .,<general>benar-benar Bank Capek Antre</general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Mandiri semakin hari semakin baik pelayanan nya .,<service-general>semakin hari semakin baik pelayanan</service-general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+BNI adalah bank BUMN terburuk se-Indonesia .,<general>bank BUMN terburuk se-Indonesia</general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Memang sih tabungan Xpresi BCA biaya admin nya murah , tapi percuma tidak ada buku tabungan nya .",<product-simpanan>tabungan Xpresi biaya admin murah tidak ada buku tabungan</product-simpanan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pengajuan kartu kredit BCA ribet banget ya ampun .,<product-kartu kredit>Pengajuan kartu kredit ribet banget</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Kartu kredit BCA banyak Promo nya , tetapi susah mengajukan nya ..",<product-kartu kredit>Kartu kredit banyak Promo susah mengajukan</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+menipu saja bni kartu kredit,<product-kartu kredit>menipu kartu kredit</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@KartuKreditBCA saya pakai BCA Platinum di Asia Rest tidak berlaku .Promo bohong kok diterbitkan terus .Mengecewakan !,<product-kartu kredit>Platinum tidak berlaku Promo bohong Mengecewakan</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Asyik sudah enggak ribet nih .Bayar Tol Cipali dengan promo kartu Flazz BCA,<product-flazz>Asyik sudah enggak ribet nih . Bayar Tol Cipali promo kartu Flazz</product-flazz>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Halo @kartukreditbca .Ribet juga ya mau bertanya promo saja ke Halo BCA harus verifikasi data dahulu , sudah begitu lama .","<service-haloBCA>Ribet bertanya promo Halo BCA harus verifikasi data dahulu , sudah begitu lama</service-haloBCA>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@mandiricare mau beli kartu e-money saja sangat ribet di mandiri pluit village .rischa wahyu dan triyana mulyandani enggak ramah di teller & mempersulit,<service-teller>beli kartu e-money sangat ribet enggak ramah teller mempersulit</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"kualitas kartu-kartu mau kartu atm , kredit bank permata itu lebih jelek , gampang lepas plastik nya .","<product-kartu debit>kartu atm lebih jelek , gampang lepas plastik nya</product-kartu debit>
+<product-kartu kredit>kredit lebih jelek , gampang lepas plastik nya</product-kartu kredit>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+hari ini saya sudah menutup kartu kredit BRI dan Danamon dan dilayani dengan ramah oleh CS @kontakBRI @HelloDanamon,<service-cs>menutup kartu kredit dilayani dengan ramah CS</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"tidak seperti bank @bukopinsiaga yang bikin ribet nasabah untuk penutupan kartu kredit ( status enggak ada transaksi ) , tolong @bank_indonesia dan @ojkindonesia ditertibkan",<product-kartu kredit>bikin ribet nasabah penutupan kartu kredit status enggak ada transaksi</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Penjual kartu kredit Danamon ini ribet deh !,<service-telemarketing>Penjual kartu kredit ribet</service-telemarketing>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"mau verifikasi kartu kredit saja susah ya , danamon danamon .sudah bagus dipakai lo ini dipersulit .mau nya apa T .T",<product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Kartu kredit BCA ini sombong , sudah 2x ditolak .","<product-kartu kredit>Kartu kredit sombong , sudah 2x ditolak</product-kartu kredit>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+sulit sekali pengajuan keringanan pembayaran atas tunggakan kartu kredit bank Mandiri,<product-kartu kredit>sulit sekali pengajuan keringanan pembayaran atas tunggakan kartu kredit</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Sulit mendapat kredit kalau di BNI mending ke Mandiri saja lo,<product-kartu kredit>Sulit mendapat kredit kalau di mending ke saja</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@bankmandiri semua atm mandiri jadi atm bersama .saya mau bayar kartu kredit jadi susah , enggak ada menu nya , bukan nya mempermudah malah jadi sulit",<facility-atm>atm jadi atm bersama bayar kartu kredit susah bukan nya mempermudah malah jadi sulit</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@bankmandiri sejak ATM Mandiri jadi ATM Bersama Merah Putih , opsi transaksi pembayaran kartu kredit Mandiri malah tidak ada ?Makin sulit ya",<facility-atm>ATM ATM Bersama Merah Putih pembayaran kartu kredit tidak ada ? Makin sulit ya</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Sulit Menutup Kartu Kredit Bank Mandiri,<product-kartu kredit>Sulit Menutup Kartu Kredit</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"sulit sekali bagi bank mandiri mengembalikan uang kelebihan bayar tagihan kartu kredit , semua persyaratan telah dikirim",<product-kartu kredit>sulit sekali mengembalikan uang kelebihan bayar tagihan kartu kredit</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Kartu kredit lain langsung memberi poin tiap transaksi .Kartu kredit mandiri mewajibkan kita mengajukan permohonan dahulu .Sulit dapat nya,<product-kartu kredit>poin Kartu kredit Sulit dapat nya</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Permata ini sungguh ribet ya internet banking - nya .Ganti kartu ATM saja mesti register ulang , telepon CS .Ribet .","<facility-aplikasi>sungguh ribet internet banking Ganti kartu ATM mesti register ulang , telepon CS . Ribet</facility-aplikasi>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Aduh ini iklan Gebyar BCA tumben jelek amat,<general-iklan>iklan Gebyar tumben jelek amat</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Iklan BCA apaan sih , orang lagi mau nonton bola malah diajak joget di jalanan .Ganggu saja deh .",<general-iklan>Iklan Ganggu saja deh</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Iklan bca di youtube bacot ah , ganggu saja .","<general-iklan>Iklan bacot ah , ganggu saja</general-iklan>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"lagi cari referensi untuk pekerjaan dan buka youtube , yang ada adalah sering nya muncul iklan BCA Mobile , ganggu banget , huf",<general-iklan>iklan BCA Mobile ganggu banget</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+ada iklan bca yang menutupi 30 % layar itu super ganggu berat deh .,<general-iklan>iklan menutupi 30 % layar itu super ganggu berat deh</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Jingle iklan BCA yang di mesin atm nontunai itu ganggu banget , apalagi kalau mengantre lama , bikin terngiang-ngiang di otak .",<general-iklan>Jingle iklan ganggu banget</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Promo #FantastiKpopJKT BCA berhasil membuat suasana hati gue di pagi hari ini menjadi buruk,<general-promo>Promo FantastiKpopJKT berhasil membuat suasana hati gue di pagi hari ini menjadi buruk</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+top up brizzi masih ribet tidak semudah seperti e-money mandiri dan flazz bca,"<product-e-money>top up brizzi masih ribet semudah e-money</product-e-money>
+<product-flazz>semudah flazz</product-flazz>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+mau yang banyak promo ya BCA .mau yang enggak ribet Mandiri .wkwkwk,"<general-promo>banyak promo</general-promo>
+<general>enggak ribet</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+ribet ya bca .kasih promo enggak jelas .payah,"<general>ribet</general>
+<general-promo>promo enggak jelas . payah</general-promo>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Rasanya promo ulang tahun bank yang enggak pakai ribet BCA deh .,<general-promo>promo ulang tahun enggak pakai ribet</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+punya rekening di danamon enggak ada biaya admin bulanan nya,<product-simpanan>rekening enggak ada biaya admin bulanan</product-simpanan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+kalau pembayaran pakai promo hsbc / bca dibuat ribet !,<general-promo>pembayaran promo dibuat ribet</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+BCA kamu RIBET BANGET MAU PROMO itu,<general-promo>RIBET BANGET PROMO</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Tanggal 27 mulai tambah promo siap-siap tambah ribet ,",<general-promo>promo tambah ribet</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"buat CC BCA saja , biar enggak ribet bayar nya , iuran tahunan paling mahal cuma 125 ribu kok .Banyak promo juga",<product-kartu kredit>CC enggak ribet bayar iuran tahunan paling mahal cuma 125 ribu Banyak promo</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Promo BCA sih sudah bagus , tapi yang terjadi di lapangan , nasabah BCA sangat susah untuk mengikuti promo tersebut !",<general-promo>Promo sudah bagus sangat susah untuk mengikuti promo tersebut</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bca bunga murah tembus susah .Bca ada promo ulang tahun 6 % .BCA sih paling murah tetapi susah tembus,"<product-kartu kredit>bunga murah tembus susah paling murah susah tembus</product-kartu kredit>
+<general-promo>ada promo ulang tahun</general-promo>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"sebetulnya ada promo debit BCA .Tetapi kemarin mau membuka BCA susah sekali syarat nya , mana BCA ada nya Di Pekanbaru .",<product-kartu debit>ada promo debit membuka susah sekali syarat nya</product-kartu debit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Promo BCA mah susah .kalau gue dahulu dapat platinum nya standard chartered , lebih gampang .","<general-promo>Promo susah</general-promo>
+<product-kartu kredit>platinum lebih gampang</product-kartu kredit>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"kalau bikin CC di BCA memang rada susah persetujuan nya ,",<product-kartu kredit>bikin CC rada susah persetujuan nya</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"tertawa terbahak-bahak , godaan promo bca starbuck susah ditolak : p",<general-promo>promo susah ditolak</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+iklan BNI sekarang busuk-busuk terutama CC - nya .Hoek jelek banget .,"<general-iklan>iklan busuk-busuk</general-iklan>
+<product-kartu kredit>CC Hoek jelek banget</product-kartu kredit>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+banner iklan BNI di kanal Bola ganggu banget .enggak bisa dihapus .sungguh,<general-iklan>banner iklan ganggu banget . enggak bisa dihapus . sungguh</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+GANGGU banget iklan BNI !,<general-iklan>GANGGU banget iklan</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Iklan hari raya nya bni bagus .Menggambarkan kerukunan antaragama .,<general-iklan>Iklan hari raya bagus</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ah ribet promo BNI : ' (,<general-promo>ribet promo</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ini juga promo BNI ribet amat sih jelaskan nya setengah-setengah kampret,<general-promo>promo ribet amat sih jelaskan nya setengah-setengah kampret</general-promo>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ah debit bca enggak bisa itu kan satu-satunya aset buat belanja tanpa ribet hei,<product-kartu debit>debit enggak bisa satu-satunya aset buat belanja tanpa ribet</product-kartu debit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Payah nih KKB BCA , sudah ribet .Makan siang sampai sekuriti enggak bisa diganggu .Mantap Pelayanan nya deh !Kagak Rekomendasi","<product-KKB>Payah KKB sudah ribet</product-KKB>
+<general>Kagak Rekomendasi</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA ini bagaimana kliring BCA kok terima transfer enggak masuk-masuk .Payah amat !,<facility-kliring>kliring terima transfer enggak masuk-masuk . Payah amat</facility-kliring>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+#BCA Permata Buana payah amat .Mau kliring cek dari luar enggak bisa .Padahal biasa di BCA Taman Ratu enggak ada masalah .,"<general>payah amat</general>
+<facility-kliring>kliring cek dari luar enggak bisa enggak ada masalah</facility-kliring>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"kliring antarbank dari Bank Mandiri PAYAH , ke BCA saja sudah 6 jam BELUM SAMPAI juga padahal pakai satu hari sampai .mendingan ke BCA - nya .",<facility-kliring>kliring PAYAH sudah 6 jam BELUM SAMPAI juga padahal pakai satu hari sampai</facility-kliring>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+paling ribet kalau kliring giro BCA dari beda bank,<facility-kliring>paling ribet kliring giro beda bank</facility-kliring>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"mengurus revisi tagihan , ribet 1 giro 3x tanda tangan .#giro penuh coretan enggak diterima bca",<product-giro>revisi tagihan ribet giro</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Giro @BCA itu ribet ya .sudah ditolak masih saja diperjuangkan .Maksa banget buat diterima,<product-giro>Giro ribet ya . sudah ditolak masih saja diperjuangkan . Maksa banget buat diterima</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@BCA Ribet cairkan giro perusahaan,<product-giro>Ribet cairkan giro</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Cuma BCA saja ya agak ribet bikin rekening,<product-simpanan>agak ribet bikin rekening</product-simpanan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Cuma di BCA mau cairin giro ditanya ini itu .Proses nya ribet !,<product-giro>cairin giro ditanya ini itu . Proses nya ribet</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+buka rekening giro BCA itu yang paling ribet se-Indonesia,<product-giro>buka rekening giro paling ribet se-Indonesia</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Syarat buka giro di BCA mudah .enggak ribet,<product-giro>Syarat buka giro mudah . enggak ribet</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Kliring giro ternyata ribet banget ( @ BCA KCU Sudirman ),<facility-kliring>Kliring giro ribet banget</facility-kliring>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+punya giro usaha di bca .Terlalu ribet nih bank,<product-giro>giro usaha Terlalu ribet nih bank</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Walah ribet .setor giro saja di bank BCA harus mengisi biodata pribadi .,<product-giro>ribet setor giro</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@HaloBCA cs bca tolong yang benar ya .Data nama ktp dan buku tabungan saya dibedakan , sekarang mau mencari giro saja susah amat gara-gara beda nama !","<service-cs>cs Data nama ktp dan buku tabungan saya dibedakan , sekarang mau mencari giro saja susah amat gara-gara beda nama</service-cs>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"ngeri banget nih bca , giro berbulan-bulan enggak masuk enggak mengabarkan .Diurus susah banget !","<general>ngeri banget</general>
+<product-giro>giro berbulan-bulan enggak masuk enggak mengabarkan . Diurus susah banget</product-giro>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Punya giro di @BNI itu ribet ...Kliring nya pagi buta , sudah begitu repot buat menghapus SP 1 saja mesti bayar lagi , enggak oke deh","<product-giro>giro ribet Kliring pagi buta repot buat menghapus SP 1 saja mesti bayar lagi , enggak oke deh</product-giro>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Kalau mau buka giro sih sah-sah saja dicecar banyak pertanyaan .Ini cuma tabungan pribadi , tapi ribet .#BNI","<product-giro>buka giro dicecar banyak pertanyaan</product-giro>
+<product-simpanan>buka tabungan pribadi ribet</product-simpanan>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Aduh ribet amat ini BNI !Itu giro asli kali mas,<product-giro>Aduh ribet amat giro</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pelayanan BTN Pkp buruk .saya mau urus KPR / buka tabungan baru harus mengantre !,"<service-general>Pelayanan buruk</service-general>
+<service-cs>urus KPR / buka tabungan baru harus mengantre</service-cs>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Mengaktifkan tabungan giro yang tidur di bank Mandiri ternyata jauh lebih susah daripada mengurus KTP,<product-giro>Mengaktifkan tabungan giro jauh lebih susah daripada mengurus KTP</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Baru aktifkan internet banking mandiri dan cara lihat saldo tabungan ternyata enggak sesimpel internet banking BCA : D,"<facility-aplikasi>internet banking lihat saldo tabungan enggak sesimpel internet banking</facility-aplikasi>
+<facility-klikbca>dan cara lihat saldo tabungan ternyata enggak sesimpel internet banking</facility-klikbca>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bukopin tinggi bunga nya #eh Bank Kecil Beri Bunga Tabungan Setinggi Deposito,<product-kartu kredit>tinggi bunga</product-kartu kredit>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@BankBTNcoid pelayanan bank BTN cabang Gresik sangat buruk , 2 kali mau menabung buat bayar KPR selalu luring ,","<service-general>pelayanan sangat buruk</service-general>
+<facility-e-channel>menabung buat bayar KPR selalu luring</facility-e-channel>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"teller sama satpam bank mandiri setiabudi ganteng banget , baik lagi , harus sering-sering menabung nih : p","<service-teller>teller ganteng banget , baik lagi</service-teller>
+<service-satpam>satpam ganteng banget , baik lagi</service-satpam>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"wah , saku ku banyak promo nya nih , asyik banget .",<product-sakuku>saku ku banyak promo asyik banget</product-sakuku>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+semenjak pakai saku ku segala transaksi jadi lebih mudah .,<product-sakuku>saku ku segala transaksi jadi lebih mudah</product-sakuku>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"payah banget sih saku ku , tiap mau transaksi eror terus .",<product-sakuku>payah banget saku ku tiap mau transaksi eror terus</product-sakuku>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"capek pakai saku ku , ribet .",<product-sakuku>capek saku ku ribet</product-sakuku>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Aplikasi payroll bca eror terus setiap mau dipakai .,<facility-payroll>payroll eror terus setiap mau dipakai</facility-payroll>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Ini pake payroll bca bukan nya memudahkan malah semakin ribet .,<facility-payroll>payroll bukan nya memudahkan malah semakin ribet</facility-payroll>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+lagi-lagi kudu ke bank mandiri mohon gue malas amat sama mandiri teller nya lelet terus enggak ramah hmz,<service-teller>malas amat teller lelet terus enggak ramah</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+kalau urusan sama KKB BCA emang ribet banget .,<product-KKB>KKB ribet banget</product-KKB>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+KKB BCA ribet deh .,<product-KKB>KKB ribet deh</product-KKB>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Menyesal saya mengambil KKB dan asuransi BCA ternyata klaim nya susah dan lama,"<product-KKB>KKB klaim susah dan lama</product-KKB>
+<product-asuransi>asuransi klaim susah dan lama</product-asuransi>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Ih malas nya berhubungan sama orang kkb bca !sudah susah dihubungi , kalau ditelepon enggak pernah diangkat","<product-KKB>kkb susah dihubungi , kalau ditelepon enggak pernah diangkat</product-KKB>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+KKB Bca mengacak-acak lo .Rusak rezeki orang saja .,<product-KKB>KKB mengacak-acak lo . Rusak rezeki orang saja</product-KKB>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+KKB BRI Mobil Baru & Bekas Tanpa Ribet,<product-KKB>KKB Mobil Baru & Bekas Tanpa Ribet</product-KKB>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"KPR & KKB ( SKK BRI ) Cepat , Mudah dan Murah","<product-KPR>KPR Cepat , Mudah dan Murah</product-KPR>
+<product-KKB>KKB Cepat , Mudah dan Murah</product-KKB>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@HaloBCA cukup kecewa dengan pelayanan bca center pasar minggu khusus nya pelayanan pembukaan rekening giro,<service-cs>cukup kecewa dengan pelayanan pembukaan rekening giro</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@BankBTNcoid halo btn , dari kemarin luring ya , mau transfer dan setoran juga tidak bisa , saya belum setor buat cicilan kpr sampai hari ini terasa sulit untuk bayar",<facility-e-channel>dari kemarin luring transfer dan setoran tidak bisa setor buat cicilan kpr sampai hari ini terasa sulit untuk bayar</facility-e-channel>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@btnproperti mau melunasi kpr harus ke cabang kita kpr kok ribet amat bos , bank lain berlomba-lomba kasih kemudahan eh btn malah tambah ribet","<product-KPR>melunasi kpr ribet amat bos</product-KPR>
+<general>tambah ribet</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@btnproperti admin , aku mengajukan KPR di BTN kok dipersulit ya , ribet banget","<product-KPR>mengajukan KPR dipersulit ya , ribet banget</product-KPR>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"gue bayar tunai jadi nya , ribet ikut KPR , kalau menurut orang-orang yang ada di kantor gue BTN paling gampang acc",<product-KPR>ribet KPR gampang acc</product-KPR>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pernah mengurus pelunasan kpr sama mengambil dokumen terkait di btn .menunggu enggak sampai satu jam .enggak pakai ribet .Btn memang memegang kalau urusan kpr mah .,"<product-KPR>pelunasan kpr menunggu enggak sampai satu jam . enggak pakai ribet</product-KPR>
+<general>memang memegang kalau urusan kpr mah</general>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"BTN jawara FLPP , yang mau KPR subsidi pemerintah , langsung lari ke BTN saja enggak pakai ribet , enggak seperti saudara kembar nya , ribet lambat",<product-KPR>KPR subsidi pemerintah enggak pakai ribet</product-KPR>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"mengurus KPR via BTN awal nya ribet tetapi ujung nya simpel , sementara ngurus KPR dari CIMB Niaga , malah terbalik .Pakai salah tulis nama lagi .",<product-KPR>KPR awal nya ribet tetapi ujung nya simpel KPR malah terbalik . Pakai salah tulis nama lagi</product-KPR>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"aplikasi m - bca untuk pindai flazz belum mendukung di os oreo 8.1 ,",<facility-m-bca>m - bca pindai flazz belum mendukung di os oreo 8.1</facility-m-bca>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Flazz bca - nya pakai bermasalah lagi,<product-flazz>Flazz bermasalah</product-flazz>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Pakai flazz bca saja .enggak pakai ribet , isi nya via alfa grup saja .",<product-flazz>flazz enggak pakai ribet</product-flazz>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Pakai BCA Flazz enggak Pakai Ribet,<product-flazz>Flazz enggak Pakai Ribet</product-flazz>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Flazz bca lama-lama ribet .pindah ke T-Cash lah kalau begini mah banyak promo,"<product-flazz>Flazz lama-lama ribet</product-flazz>
+<general-promo>banyak promo</general-promo>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+top up kartu flazz bca ribet banget enggak bisa di SEMUA ALFAMART,<product-flazz>top up kartu flazz ribet banget enggak bisa di SEMUA ALFAMART</product-flazz>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bahkan di kantor pusat pun cs uob menyebalkan !kerja nya lama !,<service-cs>cs menyebalkan ! kerja nya lama</service-cs>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bank mandiri pinggir kantor gue ini pelayanan nya enggak banget !Teller transaksi umum cuma 2 orang dan yang satu tutup .kita mengantre buang-buang waktu !,"<service-general>pelayanan enggak banget</service-general>
+<service-teller>Teller transaksi umum cuma 2 orang dan yang satu tutup . kita mengantre buang-buang waktu !</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@BANKBRI_ID pelayanan Bank BRI cabang Pluit Kencana sangat mengecewakan , saya nasabah KPR , telepon kantor tidak pernah diangkat sekalipun .",<service-general>pelayanan sangat mengecewakan telepon kantor tidak pernah diangkat sekalipun</service-general>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@akuBRAVO @BNICustomerCare @BNI BNI enggak peduli sama nasabah lama , ajukan penurunan suku bunga juga ditolak","<general>enggak peduli sama nasabah lama</general>
+<product-kartu kredit>ajukan penurunan suku bunga ditolak</product-kartu kredit>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@BNI Tetapi pinjam modal dipersulit hahaha,<product-pinjaman>pinjam modal dipersulit</product-pinjaman>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@BNI46 Buka giro ribet amat dicecar banyak pertanyaan,<product-giro>Buka giro ribet amat dicecar banyak pertanyaan</product-giro>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@CIMBNiaga mesin ATM memuat nya lama dan uang enggak keluar dan saldo juga berkurang , kacau","<facility-atm>mesin ATM memuat nya lama dan uang enggak keluar dan saldo juga berkurang , kacau</facility-atm>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@mandiricare lama banget enggak diangkat oleh mandiri call , beberapa kali telepon , beberapa menit menunggu .Buruk sekali pelayanan nya !","<service-customer center>lama banget enggak diangkat mandiri call beberapa kali telepon , beberapa menit menunggu . Buruk sekali pelayanan nya</service-customer center>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@mandiricare pelayanan nya kurang memuaskan , antre banyak tetapi teller yang buka hanya 2 di Mandiri Cabang Sarinah Thamrin Jakarta","<service-general>pelayanan kurang memuaskan</service-general>
+<service-teller>antre banyak teller yang buka hanya 2</service-teller>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+@PermataCare desain sistem / antarmuka pengguna di ATM Permata lebih dipercantik .Yang sekarang jelek,<facility-atm>desain sistem / antarmuka pengguna ATM jelek</facility-atm>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"@yuniasastra selama ini gue ke mandiri asik-asik saja sih , dan belum pernah bertemu teller cowok .Satpam saja ramah banget","<general>asik-asik saja</general>
+<service-teller>belum pernah bertemu teller cowok</service-teller>
+<service-satpam>Satpam ramah banget</service-satpam>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"2 jempol untuk mandiri kpr staf .biasanya kalau mau pelunasan dibuat ribet setangah mati , tetapi mereka tidak sama skali ,","<product-KPR>kpr biasanya kalau mau pelunasan dibuat ribet setangah mati , tetapi mereka tidak sama skali</product-KPR>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+lis hitam teller bank mandiri kcp ujung menteng atas nama NOPI DEWI,<service-teller>lis hitam teller</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Blokir rekening BCA memang ribet ya,<product-simpanan>Blokir rekening memang ribet</product-simpanan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Bni sama Mandiri sih .Teller nya baik-baik dan pelayanan nya pun baik banget sumpah .,<service-teller>Teller baik-baik dan pelayanan nya pun baik banget sumpah</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Internet banking BCA sama M - Banking - nya juga paling juara sih,"<facility-klikbca>Internet banking paling juara</facility-klikbca>
+<facility-m-bca>M - Banking paling juara</facility-m-bca>","Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+internet banking mandiri keren euy suka suka suka :),<facility-aplikasi>internet banking keren euy suka suka suka</facility-aplikasi>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"internet banking mandiri daring , bagus nya dibikin seperti dahulu lagi yang simpel .Tidak terlalu banyak variasi .",<facility-aplikasi>internet banking bagus nya dibikin seperti dahulu lagi yang simpel . Tidak terlalu banyak variasi</facility-aplikasi>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+untuk KUR baiknya pilih di Bank BRI saja,<product-KUR>KUR baiknya pilih di saja</product-KUR>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Wah iklan gebyar tahapan bca bagus .,<general-iklan>iklan gebyar tahapan bca bagus</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Wah kalau BTN diakuisisi bank mandiri bisa mampus nih gue !Secara mandiri kalau mengasih bunga KPR tinggi !,<product-KPR>bunga KPR tinggi</product-KPR>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+website internet banking Mandiri enggak bisa dibuka .makin mantap untuk menutup akun Bank Mandiri .,<facility-aplikasi>internet banking enggak bisa dibuka</facility-aplikasi>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+"Woi bank mandiri cabang kartini gresik lama banget pelayanan nya , teller nya hilang-hilang melulu .",<service-teller>lama banget pelayanan nya teller hilang-hilang melulu</service-teller>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"
+Wow .Iklan BCA bagus banget yang baru,<general-iklan>Iklan bagus banget yang baru</general-iklan>,"Task: Extract aspects and corresponding text from the input sentence. Use the provided list of aspects to categorize the extracted text.
+
+Input format: A sentence or short paragraph in Indonesian.
+Output format: XML-style tags containing the aspect and corresponding text.
+
+Aspect list:
+facility-BCA Mobile
+facility-EDC
+facility-NFC
+facility-aplikasi
+facility-atm
+facility-deposit box
+facility-e-channel
+facility-general
+facility-kantor
+facility-keybca
+facility-klikbca
+facility-klikpay
+facility-m-bca
+facility-mesin cs digital
+facility-payroll
+facility-phone banking
+general
+general-iklan
+general-promo
+product-KKB
+product-KMK
+product-KPR
+product-KUR
+product-asuransi
+product-deposito
+product-e-money
+product-flazz
+product-general
+product-giro
+product-kartu debit
+product-kartu kredit
+product-kartu-kredit
+product-pinjaman
+product-sakuku
+product-simpanan
+service-cs
+service-customer center
+service-general
+service-haloBCA
+service-kantor cabang
+service-karyawan
+service-prioritas
+service-satpam
+service-telemarketing
+service-teller
+service-tukang parkir
+
+Rules for extraction:
+1. Identify the most relevant aspect(s) from the list for the given input.
+2. Extract the minimal span of text that accurately represents the aspect.
+3. If multiple aspects are present, extract each one separately.
+4. If no relevant aspect is found, output ""NONE""
+
+Examples:
+
+Input: BNI enggak menyediakan jalur teller khusus kliring giro / cek. Padahal kliring giro / cek ada batas waktu nya. Payah!
+Output: <service-teller>enggak menyediakan jalur teller khusus kliring giro / cek</service-teller> <general>Payah</general>
+
+Input: Teller Mandiri yang baru ini ribet sekali.
+Output: <service-teller>Teller ribet sekali</service-teller>
+
+Input: mau verifikasi kartu kredit saja susah ya, danamon danamon. sudah bagus dipakai lo ini dipersulit. mau nya apa T.T
+Output: <product-kartu kredit>verifikasi kartu kredit susah</product-kartu kredit>
+
+Input: Saya sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari.
+Output: <facility-BCA Mobile>sangat puas dengan layanan BCA Mobile, sangat memudahkan transaksi sehari-hari</facility-BCA Mobile>
+
+Input: Bank ini tidak memiliki fasilitas apa-apa yang berguna.
+Output: <general>tidak memiliki fasilitas apa-apa yang berguna</general>
+
+Input: Siang ini , baik mobile BCA enggak bisa digunakan @HaloBCA internet banking juga lelet .
+Output: <facility-BCA Mobile>mobile BCA enggak bisa digunakan</facility-BCA Mobile> <facility-klikbca>internet banking lelet</facility-klikbca>
+
+Input: Iya sih , aplikasi mobile - nya Mandiri lebih bagus dari BCA .
+Output: <facility-aplikasi>aplikasi mobile lebih bagus dari</facility-aplikasi> <facility-BCA Mobile>lebih bagus</facility-BCA Mobile>
+
+Input: Cuaca hari ini cerah sekali.
+Output: NONE
+
+Handling ambiguity:
+- If a sentence could belong to multiple aspects, write all of them
+
+Now, given the input text below, extract the relevant aspects and text:
+
+Input: [text]
+Output:
+"