LDAvis
An R package for creating interactive web-based visualizations of Latent Dirichlet Allocation (LDA) topic models.
What is LDAvis?
LDAvis is an R package that creates interactive web-based visualizations for interpreting Latent Dirichlet Allocation (LDA) topic models. It extracts information from fitted models to help users explore topics, terms, and their relationships in text corpora, making complex model outputs more accessible.
Data scientists, researchers, and analysts working with text data who use LDA topic modeling and need tools to interpret and communicate model results effectively.
It provides a model-agnostic, interactive visualization interface specifically designed for topic models, enabling deeper insights into topic-term distributions and document groupings without requiring custom coding for visualization.
Overview
R package for web-based interactive topic model visualization.
Use Cases
Best For
- Interpreting and exploring topics from LDA models fitted in R
- Sharing topic model visualizations with collaborators via URLs
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