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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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# 1m_topic_model |
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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("Jellywibble/1m_topic_model") |
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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: 15 |
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* Number of training documents: 1000000 |
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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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| 0 | cock - cum - inside - pleasure - body | 208793 | 0_cock_cum_inside_pleasure | |
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| 1 | eyes - dont - just - im - youre | 154818 | 1_eyes_dont_just_im | |
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| 2 | kiss - lips - body - eyes - hands | 117610 | 2_kiss_lips_body_eyes | |
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| 3 | just - im - eyes - like - dont | 115264 | 3_just_im_eyes_like | |
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| 4 | eyes - youre - just - im - dont | 113788 | 4_eyes_youre_just_im | |
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| 5 | eyes - sleep - just - softly - heart | 91136 | 5_eyes_sleep_just_softly | |
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| 6 | sorry - eyes - ghost - body - youre | 56038 | 6_sorry_eyes_ghost_body | |
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| 7 | eyes - body - satoru - cock - toji | 38594 | 7_eyes_body_satoru_cock | |
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| 8 | kai - jungkook - eyes - kais - body | 30259 | 8_kai_jungkook_eyes_kais | |
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| 9 | hoshi - food - eyes - eat - just | 29696 | 9_hoshi_food_eyes_eat | |
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| 10 | leo - felix - leos - choso - eyes | 21878 | 10_leo_felix_leos_choso | |
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| 11 | que - la - se - en - su | 10551 | 11_que_la_se_en | |
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| 12 | eyes - youre - just - body - voice | 6977 | 12_eyes_youre_just_body | |
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| 13 | xavier - xaviers - eyes - hand - lips | 2338 | 13_xavier_xaviers_eyes_hand | |
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| 14 | bakugo - bakugou - bakugos - bakugous - deku | 2260 | 14_bakugo_bakugou_bakugos_bakugous | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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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: True |
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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: 1.23.1 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.5 |
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* Pandas: 1.3.5 |
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* Scikit-Learn: 1.3.2 |
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* Sentence-transformers: 2.3.1 |
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* Transformers: 4.38.1 |
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* Numba: 0.58.1 |
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* Plotly: 5.19.0 |
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* Python: 3.8.10 |
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