| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | --- |
| | |
| | # imdb_bertopic_ten_topics |
| | |
| | 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("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 |
| | |
