imdb_bertopic_ten_topics
This is a 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:
from bertopic import BERTopic
topic_model = BERTopic.load("davanstrien/imdb_bertopic_ten_topics")
topic_model.get_topic_info()
Topic overview
- Number of topics: 10
- Number of training documents: 103062
<details> <summary>Click here for an overview of all topics.</summary>
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | film - movie - movies - character - characters | 44 | -1_film_movie_movies_character |
| 0 | film - movie - films - movies - too | 25087 | 0_film_movie_films_movies |
| 1 | episodes - shows - watching - tv - episode | 20955 | 1_episodes_shows_watching_tv |
| 2 | films - film - movies - godzilla - movie | 2037 | 2_films_film_movies_godzilla |
| 3 | cinderella - disney - cartoon - animation - cartoons | 895 | 3_cinderella_disney_cartoon_animation |
| 4 | gameplay - games - game - adventure - starcraft | 465 | 4_gameplay_games_game_adventure |
| 5 | holmes - sherlock - watson - doyle - conan | 228 | 5_holmes_sherlock_watson_doyle |
| 6 | panther - film - films - clouseau - movies | 184 | 6_panther_film_films_clouseau |
| 7 | metallica - metal - genres - genre - headbanger | 55 | 7_metallica_metal_genres_genre |
| 8 | che - ernesto - castro - biopic - film | 50 | 8_che_ernesto_castro_biopic |
</details>
Training hyperparameters
- calculate_probabilities: False
- language: None
- low_memory: False
- min_topic_size: 40
- n_gram_range: (1, 1)
- nr_topics: 10
- seed_topic_list: None
- top_n_words: 10
- verbose: False
Framework versions
- Numpy: 1.22.4
- HDBSCAN: 0.8.29
- UMAP: 0.5.3
- Pandas: 1.5.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.2.2
- Transformers: 4.29.2
- Numba: 0.56.4
- Plotly: 5.13.1
- Python: 3.10.11
