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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# BERTopic-Israel-Palestine-Description |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("geektech/BERTopic-Israel-Palestine-Description") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 33 |
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* Number of training documents: 1369 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | the - https - com - and - to | 12 | -1_the_https_com_and | |
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| 0 | palestine - celebrities - support - israel - the | 419 | 0_palestine_celebrities_support_israel | |
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| 1 | hamas - the - hostages - https - and | 106 | 1_hamas_the_hostages_https | |
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| 2 | com - https - hamas - news - firstpost | 84 | 2_com_https_hamas_news | |
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| 3 | news - www tv9hindi - https www tv9hindi - tv9hindi - tv9hindi com | 79 | 3_news_www tv9hindi_https www tv9hindi_tv9hindi | |
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| 4 | trendingnow - news breakingnews - news - the - breakingnews | 46 | 4_trendingnow_news breakingnews_news_the | |
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| 5 | bendera - menggambarbendera - menggambar - palestina - prayforpalestine | 45 | 5_bendera_menggambarbendera_menggambar_palestina | |
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| 6 | israel - humanity - the - news - palestine | 44 | 6_israel_humanity_the_news | |
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| 7 | the - and - this - in - to | 41 | 7_the_and_this_in | |
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| 8 | reviews - news movie - produce - retroluxe - movie | 39 | 8_reviews_news movie_produce_retroluxe | |
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| 9 | https - com - ajplus - on - www | 34 | 9_https_com_ajplus_on | |
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| 10 | allah - allah di - gaza - pertolongan - pertolongan allah | 29 | 10_allah_allah di_gaza_pertolongan | |
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| 11 | piers - piers morgan - morgan - shorts - podcast | 28 | 11_piers_piers morgan_morgan_shorts | |
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| 12 | the - to - freepalestine - it - africa | 26 | 12_the_to_freepalestine_it | |
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| 13 | the - crisis - conflict - and - international relations | 23 | 13_the_crisis_conflict_and | |
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| 14 | https - com - https bit - https bit ly - bit ly | 22 | 14_https_com_https bit_https bit ly | |
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| 15 | the - genocide - israel - gaza - of | 22 | 15_the_genocide_israel_gaza | |
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| 16 | sakura - palestina - sakura school - drama sakura school simulator - school simulator | 21 | 16_sakura_palestina_sakura school_drama sakura school simulator | |
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| 17 | middleeasteye - com middleeasteye - https - com - us on | 20 | 17_middleeasteye_com middleeasteye_https_com | |
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| 18 | status - whatsapp - shorts - countries - shorts shorts | 19 | 18_status_whatsapp_shorts_countries | |
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| 19 | ronaldo - palestine - footballers - support - israel | 19 | 19_ronaldo_palestine_footballers_support | |
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| 20 | the - voanews - of - on - https | 18 | 20_the_voanews_of_on | |
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| 21 | israel - gaza - palestine - news - war | 18 | 21_israel_gaza_palestine_news | |
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| 22 | the - on - in - to - of | 17 | 22_the_on_in_to | |
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| 23 | israel - malayalam - palestine - war - malayalam israel | 17 | 23_israel_malayalam_palestine_war | |
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| 24 | bts - khan sir - sir - khan - video | 17 | 24_bts_khan sir_sir_khan | |
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| 25 | https - com - us on - us - www | 17 | 25_https_com_us on_us | |
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| 26 | the - history - of - pyramids - of the | 16 | 26_the_history_of_pyramids | |
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| 27 | russian - nbc - nbcnews - arma - nbc news | 15 | 27_russian_nbc_nbcnews_arma | |
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| 28 | news - bit ly - bit - ly - the | 15 | 28_news_bit ly_bit_ly | |
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| 29 | palestine - israel - palestine israel - celebrities - israel palestine | 14 | 29_palestine_israel_palestine israel_celebrities | |
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| 30 | liriklagu - lirikgoogle - fypシ - lirik - liriklagu lirikgoogle | 14 | 30_liriklagu_lirikgoogle_fypシ_lirik | |
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| 31 | the - force - and - of - com | 13 | 31_the_force_and_of | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: multilingual |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 4) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 25 |
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* verbose: False |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.24.3 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.5 |
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* Pandas: 2.1.4 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.3.1 |
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* Transformers: 4.36.2 |
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* Numba: 0.58.1 |
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* Plotly: 5.16.1 |
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* Python: 3.10.12 |
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