topic-modeler

Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.

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Install skill "topic-modeler" with this command: npx skills add dkyazzentwatwa/chatgpt-skills/dkyazzentwatwa-chatgpt-skills-topic-modeler

Topic Modeler

Extract topics from text collections using LDA.

Features

  • LDA Topic Modeling: Latent Dirichlet Allocation
  • Topic Keywords: Extract representative keywords per topic
  • Document Classification: Assign documents to topics
  • Visualization: Topic word clouds and distributions
  • Coherence Scores: Evaluate topic quality

CLI Usage

python topic_modeler.py --input documents.csv --column text --topics 5 --output topics.json

Dependencies

  • gensim>=4.3.0
  • nltk>=3.8.0
  • pandas>=2.0.0
  • matplotlib>=3.7.0
  • wordcloud>=1.9.0

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