Add BERTopic model

README.md

@@ -0,0 +1,77 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# MARTINI_enrich_BERTopic_sagciakademi
+
+This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
+BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 
+
+## Usage 
+
+To use this model, please install BERTopic:
+
+```
+pip install -U bertopic
+```
+
+You can use the model as follows:
+
+```python
+from bertopic import BERTopic
+topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_sagciakademi")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 8
+* Number of training documents: 578
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | bakanı - erdogan - ataturk - mehmet - trabzonspor | 22 | -1_bakanı_erdogan_ataturk_mehmet | 
+| 0 | istanbul - sokak - sarıyer - karsılastı - taksiciler | 246 | 0_istanbul_sokak_sarıyer_karsılastı | 
+| 1 | takipcilerimiz - olmadıgını - cevabı - muslumanı - merhaba | 72 | 1_takipcilerimiz_olmadıgını_cevabı_muslumanı | 
+| 2 | kılıcdaroglu - besikcioglu - buyuksehir - calısanlarımızın - camlıdere | 69 | 2_kılıcdaroglu_besikcioglu_buyuksehir_calısanlarımızın | 
+| 3 | hamas - netanyahu - basbakanı - hazırlandıgını - filistinliyi | 60 | 3_hamas_netanyahu_basbakanı_hazırlandıgını | 
+| 4 | teroristleri - harekatı - kuzeyindeki - irak - silah | 51 | 4_teroristleri_harekatı_kuzeyindeki_irak | 
+| 5 | gururduyturkiye - hazırmısınız - noktasıydı - baslangıc - nasa | 34 | 5_gururduyturkiye_hazırmısınız_noktasıydı_baslangıc | 
+| 6 | sessiz - ssss - serkan - mehmet - 30 | 24 | 6_sessiz_ssss_serkan_mehmet |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: True
+* language: None
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: None
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: False
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 1.26.4
+* HDBSCAN: 0.8.40
+* UMAP: 0.5.7
+* Pandas: 2.2.3
+* Scikit-Learn: 1.5.2
+* Sentence-transformers: 3.3.1
+* Transformers: 4.46.3
+* Numba: 0.60.0
+* Plotly: 5.24.1
+* Python: 3.10.12

config.json

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+{
+  "calculate_probabilities": true,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": null,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null
+}

ctfidf.safetensors

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+oid sha256:0d668ade6070a9ef477f613f3e76f058c49671f9a07c3432deb87694d5517106
+size 170768

topic_embeddings.safetensors

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+oid sha256:b2da85d905d63b53dcc06b488daa85dba2d3b64bd8ed29fd0c5a3754f146b997
+size 32856

topics.json

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+{
+  "topic_representations": {
+    "-1": [
+      [
+        "bakan\u0131",
+        0.5813965797424316
+      ],
+      [
+        "erdogan",
+        0.5809069871902466
+      ],
+      [
+        "ataturk",
+        0.5653890371322632
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+      [
+        "mehmet",
+        0.5583946108818054
+      ],
+      [
+        "trabzonspor",
+        0.49292051792144775
+      ]
+    ],
+    "0": [
+      [
+        "istanbul",
+        0.5647599101066589
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+      [
+        "sokak",
+        0.5323187708854675
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+      [
+        "sar\u0131yer",
+        0.5253962278366089
+      ],
+      [
+        "kars\u0131last\u0131",
+        0.5109353065490723
+      ],
+      [
+        "taksiciler",
+        0.4902222156524658
+      ]
+    ],
+    "1": [
+      [
+        "takipcilerimiz",
+        0.6104826927185059
+      ],
+      [
+        "olmad\u0131g\u0131n\u0131",
+        0.5978149175643921
+      ],
+      [
+        "cevab\u0131",
+        0.5774810314178467
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+      [
+        "musluman\u0131",
+        0.558137059211731
+      ],
+      [
+        "merhaba",
+        0.5572564601898193
+      ]
+    ],
+    "2": [
+      [
+        "k\u0131l\u0131cdaroglu",
+        0.5628747940063477
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+      [
+        "besikcioglu",
+        0.5560814142227173
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+      [
+        "buyuksehir",
+        0.510434627532959
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+      [
+        "cal\u0131sanlar\u0131m\u0131z\u0131n",
+        0.5051872730255127
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+      [
+        "caml\u0131dere",
+        0.4903881549835205
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+    "3": [
+      [
+        "hamas",
+        0.5786316394805908
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+      [
+        "netanyahu",
+        0.5505476593971252
+      ],
+      [
+        "basbakan\u0131",
+        0.518683671951294
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+      [
+        "haz\u0131rland\u0131g\u0131n\u0131",
+        0.4842402935028076
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+      [
+        "filistinliyi",
+        0.44520026445388794
+      ]
+    ],
+    "4": [
+      [
+        "teroristleri",
+        0.5825088024139404
+      ],
+      [
+        "harekat\u0131",
+        0.5625544786453247
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+      [
+        "kuzeyindeki",
+        0.49925681948661804
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+      [
+        "irak",
+        0.4970710873603821
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+      [
+        "silah",
+        0.4851285219192505
+      ]
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+    "5": [
+      [
+        "gururduyturkiye",
+        0.5866231918334961
+      ],
+      [
+        "haz\u0131rm\u0131s\u0131n\u0131z",
+        0.5345585346221924
+      ],
+      [
+        "noktas\u0131yd\u0131",
+        0.5293180346488953
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+      [
+        "baslang\u0131c",
+        0.5203418731689453
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+      [
+        "nasa",
+        0.5012737512588501
+      ]
+    ],
+    "6": [
+      [
+        "sessiz",
+        0.6121423840522766
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+      [
+        "ssss",
+        0.5673460364341736
+      ],
+      [
+        "serkan",
+        0.5441755056381226
+      ],
+      [
+        "mehmet",
+        0.5156213641166687
+      ],
+      [
+        "30",
+        0.5114981532096863
+      ]
+    ]
+  },
+  "topics": [
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+  "topic_labels": {
+    "-1": "-1_bakan\u0131_erdogan_ataturk_mehmet",
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+    "4": "4_teroristleri_harekat\u0131_kuzeyindeki_irak",
+    "5": "5_gururduyturkiye_haz\u0131rm\u0131s\u0131n\u0131z_noktas\u0131yd\u0131_baslang\u0131c",
+    "6": "6_sessiz_ssss_serkan_mehmet"
+  },
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+  "_outliers": 1,
+  "topic_aspects": {}
+}