Getting Started
Topic Modeling Documentation
A comprehensive topic modeling solution using Gensim and LDA (Latent Dirichlet Allocation) for document analysis and topic discovery.
Key Features
- Document preprocessing and filtering
- TF-IDF based term filtering
- Bigram detection
- LDA model training with customizable parameters
- Topic visualization
- Model persistence and loading
- Coherence score evaluation
Quick Links
Prerequisites
- Python 3.8+
- pandas
- numpy
- scikit-learn
- scipy
- matplotlib
- gensim
- pyLDavis
- spacy
- nltk
- bertopic