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.
Version: 0.3.2 Depends: R (≥ 2.10) Imports: proxy, RJSONIO, parallel Suggests: mallet, lda, topicmodels, gistr (≥ 0.0.8.99), servr, shiny, knitr, rmarkdown, digest, htmltools Published: 2015-10-24 DOI: 10.32614/CRAN.package.LDAvis Author: Carson Sievert [aut, cre], Kenny Shirley [aut] Maintainer: Carson Sievert <cpsievert1 at gmail.com> BugReports: https://github.com/cpsievert/LDAvis/issues License: MIT + file LICENSE URL: https://github.com/cpsievert/LDAvis NeedsCompilation: no Materials: README NEWS CRAN checks: LDAvis results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=LDAvis to link to this page.
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