Package: LDAvis
Title: Interactive Visualization of Topic Models
Version: 0.3.2
Authors@R: c(person("Carson", "Sievert", role = c("aut", "cre"), email =
    "cpsievert1@gmail.com"), person("Kenny", "Shirley", role = "aut",
    email = "kshirley@research.att.com"))
Description: 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.
Depends: R (>= 2.10)
Imports: proxy, RJSONIO, parallel
License: MIT + file LICENSE
Suggests: mallet, lda, topicmodels, gistr (>= 0.0.8.99), servr, shiny,
        knitr, rmarkdown, digest, htmltools
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/cpsievert/LDAvis
BugReports: https://github.com/cpsievert/LDAvis/issues
NeedsCompilation: no
Packaged: 2015-10-23 23:58:20 UTC; cpsievert
Author: Carson Sievert [aut, cre],
  Kenny Shirley [aut]
Maintainer: Carson Sievert <cpsievert1@gmail.com>
Repository: CRAN
Date/Publication: 2015-10-24 08:21:16
Built: R 3.6.3; ; 2020-08-05 01:32:53 UTC; windows
