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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_ZoroKanalas |
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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("sdantonio/BERTopic_ZoroKanalas") |
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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: 19 |
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* Number of training documents: 7483 |
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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 | kazakhstanas - iregistruotos - paryziuje - lionel - zelenkiui | 11 | -1_kazakhstanas_iregistruotos_paryziuje_lionel | |
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| 0 | pries - rusijos - ukrainos - rusija - eme | 96 | 0_pries_rusijos_ukrainos_rusija | |
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| 1 | maikelis - isvede - joe - londono - londonas | 6689 | 1_maikelis_isvede_joe_londono | |
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| 2 | jk - skiepus - statula - slava - lukas | 194 | 2_jk_skiepus_statula_slava | |
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| 3 | varlyte - parsidavele - gates - vakcinos - utilizacija | 79 | 3_varlyte_parsidavele_gates_vakcinos | |
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| 4 | snikerio - tortas - triufeliai - ingridijentai - bic | 63 | 4_snikerio_tortas_triufeliai_ingridijentai | |
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| 5 | vokietija - - - - | 45 | 5_vokietija___ | |
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| 6 | londonas - jk - anglija - policija - gejukai | 43 | 6_londonas_jk_anglija_policija | |
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| 7 | rusija - jav - donald - vilnius - brazilija | 41 | 7_rusija_jav_donald_vilnius | |
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| 8 | tikekime - zelenskis - kinijos - aveles - cirkas | 38 | 8_tikekime_zelenskis_kinijos_aveles | |
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| 9 | pasaulinio - cukrus - fluoras - 5g - eismas | 29 | 9_pasaulinio_cukrus_fluoras_5g | |
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| 10 | madridas - ispanija - 03 - 2023 - | 28 | 10_madridas_ispanija_03_2023 | |
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| 11 | zaporoz - zelenkis - - - | 24 | 11_zaporoz_zelenkis__ | |
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| 12 | sniegas - vokietija - lapkric - aliaskoje - atostogos | 24 | 12_sniegas_vokietija_lapkric_aliaskoje | |
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| 13 | tikintis - aveles - avys - vakcinos - klausas | 21 | 13_tikintis_aveles_avys_vakcinos | |
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| 14 | - - - - | 18 | 14____ | |
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| 15 | - - - - | 15 | 15____ | |
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| 16 | chemtreilai - ampinjonai - chemtrailai - barbe - psr | 13 | 16_chemtreilai_ampinjonai_chemtrailai_barbe | |
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| 17 | zelenskis - - - - | 12 | 17_zelenskis___ | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: None |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 10 |
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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: 1.23.5 |
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* HDBSCAN: 0.8.38.post1 |
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* UMAP: 0.5.6 |
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* Pandas: 2.2.2 |
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* Scikit-Learn: 1.5.1 |
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* Sentence-transformers: 3.0.1 |
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* Transformers: 4.44.2 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.0 |
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* Python: 3.10.12 |
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