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