---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# close-mar11Top10

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("Thang203/close-mar11Top10")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 10
* Number of training documents: 4147

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | models - language - llms - gpt - chatgpt | 11 | -1_models_language_llms_gpt | 
| 0 | models - language - llms - large - language models | 1366 | 0_models_language_llms_large | 
| 1 | ai - chatgpt - students - education - learning | 2110 | 1_ai_chatgpt_students_education | 
| 2 | llms - attacks - adversarial - attack - security | 193 | 2_llms_attacks_adversarial_attack | 
| 3 | training - models - transformer - model - large | 184 | 3_training_models_transformer_model | 
| 4 | financial - legal - models - llms - analysis | 106 | 4_financial_legal_models_llms | 
| 5 | materials - chemistry - drug - molecule - discovery | 87 | 5_materials_chemistry_drug_molecule | 
| 6 | recommendation - recommender - recommender systems - user - systems | 35 | 6_recommendation_recommender_recommender systems_user | 
| 7 | game - agents - games - llms - language | 30 | 7_game_agents_games_llms | 
| 8 | astronomy - scientific - wave - knowledge - data | 25 | 8_astronomy_scientific_wave_knowledge |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 10
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.25.2
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 1.5.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.6.1
* Transformers: 4.38.2
* Numba: 0.58.1
* Plotly: 5.15.0
* Python: 3.10.12