topic-modeler

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

$ インストール

git clone https://github.com/dkyazzentwatwa/chatgpt-skills /tmp/chatgpt-skills && cp -r /tmp/chatgpt-skills/topic-modeler ~/.claude/skills/chatgpt-skills

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: topic-modeler description: Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.

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