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

# close-hdscan-april3

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-hdscan-april3")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 11
* Number of training documents: 5027

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | models - language - llms - language models - large | 11 | -1_models_language_llms_language models | 
| 0 | models - language - llms - language models - large | 1484 | 0_models_language_llms_language models | 
| 1 | chatgpt - models - ai - language - llms | 2023 | 1_chatgpt_models_ai_language | 
| 2 | visual - models - multimodal - image - graph | 589 | 2_visual_models_multimodal_image | 
| 3 | llms - attacks - attack - models - adversarial | 317 | 3_llms_attacks_attack_models | 
| 4 | code - generation - code generation - software - models | 273 | 4_code_generation_code generation_software | 
| 5 | design - creative - ai - ideas - music | 229 | 5_design_creative_ai_ideas | 
| 6 | robot - dialogue - round - robots - preliminary | 60 | 6_robot_dialogue_round_robots | 
| 7 | causal - causality - causal reasoning - llms - causal inference | 15 | 7_causal_causality_causal reasoning_llms | 
| 8 | astronomy - scientific - data - knowledge - generative | 14 | 8_astronomy_scientific_data_knowledge | 
| 9 | urban - traffic - foundation models - foundation - transportation | 12 | 9_urban_traffic_foundation models_foundation |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 11
* 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: 0.5.6
* Pandas: 2.0.3
* 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