Interactive Visualization of Topic Models R package LDAvis version 0.3.2 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. Software Depends: R (>= 2.10) Imports: proxy, RJSONIO, parallel Suggests: mallet, lda, topicmodels, gistr (>= 0.0.8.99), servr, shiny, knitr, rmarkdown, digest, htmltools Carson Sievert <cpsievert1@gmail.com> Comprehensive R Archive Network (CRAN) Carson Sievert [aut, cre], Kenny Shirley [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=LDAvis/LICENSE) 2015-10-24 application/tgz https://CRAN.R-project.org/package=LDAvis doi:10.32614/CRAN.package.LDAvis