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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_Legal |
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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("karinegabsschon/BERTopic_Legal") |
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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: 199 |
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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 | electric - vehicles - ev - electric vehicles - charging | 6 | -1_electric_vehicles_ev_electric vehicles | |
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| 0 | cars - vehicles - electric - car - parking | 58 | 0_cars_vehicles_electric_car | |
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| 1 | chinese - electric - byd - china - cars | 30 | 1_chinese_electric_byd_china | |
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| 2 | charging - charge - ev - public - electric | 27 | 2_charging_charge_ev_public | |
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| 3 | tesla - musk - dollars - elon - elon musk | 23 | 3_tesla_musk_dollars_elon | |
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| 4 | new - electric - vehicles - car - drivers | 21 | 4_new_electric_vehicles_car | |
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| 5 | porsche - taycan - car - electric - garage | 13 | 5_porsche_taycan_car_electric | |
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| 6 | foxconn - mitsubishi - japanese - nissan - electric | 11 | 6_foxconn_mitsubishi_japanese_nissan | |
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| 7 | nikola - bankruptcy - lucid - northvolt - assets | 10 | 7_nikola_bankruptcy_lucid_northvolt | |
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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: 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: 2.0.2 |
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* HDBSCAN: 0.8.40 |
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* UMAP: 0.5.8 |
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* Pandas: 2.2.2 |
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* Scikit-Learn: 1.6.1 |
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* Sentence-transformers: 4.1.0 |
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* Transformers: 4.53.0 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.11.13 |
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