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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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# cnn_dailymail_22457_3000_1500_test |
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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("KingKazma/cnn_dailymail_22457_3000_1500_test") |
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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: 9 |
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* Number of training documents: 1500 |
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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 | mccoy - jockey - ap - champion - winner | 15 | -1_mccoy_jockey_ap_champion | |
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| 0 | said - one - year - also - told | 9 | 0_said_one_year_also | |
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| 1 | league - season - player - goal - game | 994 | 1_league_season_player_goal | |
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| 2 | labour - mr - said - miliband - leader | 290 | 2_labour_mr_said_miliband | |
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| 3 | race - hamilton - rosberg - mercedes - marathon | 84 | 3_race_hamilton_rosberg_mercedes | |
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| 4 | england - cricket - test - pietersen - anderson | 32 | 4_england_cricket_test_pietersen | |
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| 5 | ncaa - first - game - college - basketball | 30 | 5_ncaa_first_game_college | |
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| 6 | masters - spieth - augusta - hole - round | 28 | 6_masters_spieth_augusta_hole | |
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| 7 | mayweather - fight - pacquiao - boxing - vegas | 18 | 7_mayweather_fight_pacquiao_boxing | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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* language: english |
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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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## Framework versions |
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* Numpy: 1.22.4 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.3 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.2.2 |
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* Transformers: 4.31.0 |
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* Numba: 0.56.4 |
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* Plotly: 5.13.1 |
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* Python: 3.10.6 |
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