close-mar11

This is a 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:

from bertopic import BERTopic
topic_model = BERTopic.load("Thang203/close-mar11")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 20
  • Number of training documents: 4147
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 models - language - llms - language models - chatgpt 11 -1_models_language_llms_language models
0 code - models - language - llms - language models 1366 0_code_models_language_llms
1 medical - clinical - models - llms - language 840 1_medical_clinical_models_llms
2 language - models - human - model - llms 310 2_language_models_human_model
3 bias - llms - language - models - biases 196 3_bias_llms_language_models
4 attacks - adversarial - attack - llms - security 188 4_attacks_adversarial_attack_llms
5 visual - image - multimodal - models - video 184 5_visual_image_multimodal_models
6 text - detection - chatgpt - models - content 175 6_text_detection_chatgpt_models
7 reasoning - language - models - mathematical - logical 173 7_reasoning_language_models_mathematical
8 students - chatgpt - education - learning - programming 119 8_students_chatgpt_education_learning
9 training - models - model - transformer - transformers 109 9_training_models_model_transformer
10 ai - chatgpt - ethical - concerns - research 106 10_ai_chatgpt_ethical_concerns
11 ai - design - creative - generative - ideas 84 11_ai_design_creative_generative
12 financial - sentiment - stock - market - investment 68 12_financial_sentiment_stock_market
13 spatial - urban - models - traffic - large 52 13_spatial_urban_models_traffic
14 materials - chemistry - drug - discovery - molecule 41 14_materials_chemistry_drug_discovery
15 legal - analysis - law - llms - lawyers 35 15_legal_analysis_law_llms
16 recommendation - recommender - recommender systems - systems - recommendations 35 16_recommendation_recommender_recommender systems_systems
17 game - agents - games - llms - playing 30 17_game_agents_games_llms
18 astronomy - scientific - knowledge - galactica - data 25 18_astronomy_scientific_knowledge_galactica

Training hyperparameters

  • calculate_probabilities: False
  • language: None
  • low_memory: False
  • min_topic_size: 10
  • n_gram_range: (1, 1)
  • nr_topics: 20
  • 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
Downloads last month
4
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.