LDAvis (0.3.2)

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Interactive Visualization of Topic Models.


Tools to create an interactive web-based visualization of a topic model that has been fit to a corpus of text data using Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model, it computes various summary statistics as input to an interactive visualization built with D3.js that is accessed via a browser. The goal is to help users interpret the topics in their LDA topic model.

Maintainer: Carson Sievert
Author(s): Carson Sievert [aut, cre], Kenny Shirley [aut]

License: MIT + file LICENSE

Uses: proxy, RJSONIO, digest, lda, topicmodels, knitr, shiny, mallet, servr, htmltools, rmarkdown, gistr
Reverse suggests: stm, textmining

Released about 4 years ago.

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