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---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---
# BERTopic_Legal
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("karinegabsschon/BERTopic_Legal")
topic_model.get_topic_info()
```
## Topic overview
* Number of topics: 9
* Number of training documents: 199
<details>
<summary>Click here for an overview of all topics.</summary>
| Topic ID | Topic Keywords | Topic Frequency | Label |
|----------|----------------|-----------------|-------|
| -1 | electric - vehicles - ev - electric vehicles - charging | 6 | -1_electric_vehicles_ev_electric vehicles |
| 0 | cars - vehicles - electric - car - parking | 58 | 0_cars_vehicles_electric_car |
| 1 | chinese - electric - byd - china - cars | 30 | 1_chinese_electric_byd_china |
| 2 | charging - charge - ev - public - electric | 27 | 2_charging_charge_ev_public |
| 3 | tesla - musk - dollars - elon - elon musk | 23 | 3_tesla_musk_dollars_elon |
| 4 | new - electric - vehicles - car - drivers | 21 | 4_new_electric_vehicles_car |
| 5 | porsche - taycan - car - electric - garage | 13 | 5_porsche_taycan_car_electric |
| 6 | foxconn - mitsubishi - japanese - nissan - electric | 11 | 6_foxconn_mitsubishi_japanese_nissan |
| 7 | nikola - bankruptcy - lucid - northvolt - assets | 10 | 7_nikola_bankruptcy_lucid_northvolt |
</details>
## Training hyperparameters
* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None
## Framework versions
* Numpy: 2.0.2
* HDBSCAN: 0.8.40
* UMAP: 0.5.8
* Pandas: 2.2.2
* Scikit-Learn: 1.6.1
* Sentence-transformers: 4.1.0
* Transformers: 4.53.0
* Numba: 0.60.0
* Plotly: 5.24.1
* Python: 3.11.13
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