---
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