Package: textmineR
Type: Package
Title: Functions for Text Mining and Topic Modeling
Version: 2.1.1
Date: 2018-03-06
Authors@R: c(
    person("Thomas", "Jones", role = c("aut", "cre"), email = "jones.thos.w@gmail.com"),
    person("William", "Doane", email = "wil@drdoane.com", role = "ctb")
    )
Description: An aid for text mining in R, with a syntax that
    should be familiar to experienced R users. Provides a wrapper for several 
    topic models that take similarly-formatted input and give similarly-formatted
    output. Has additional functionality for analyzing and diagnostics for
    topic models.
SystemRequirements: GNU make, C++11
Depends: R (>= 3.0.2), Matrix
Imports: methods, lda, parallel, topicmodels, text2vec (>= 0.5), tm,
        stringr, SnowballC, Rcpp (>= 0.12.12), RcppProgress, RSpectra
Suggests: digest, igraph, knitr, MASS, rmarkdown, stringi, wordcloud
License: GPL (>= 3)
URL: https://github.com/TommyJones/textmineR
BugReports: https://github.com/TommyJones/textmineR/issues
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-03-06 16:03:16 UTC; tommy
Author: Thomas Jones [aut, cre],
  William Doane [ctb]
Maintainer: Thomas Jones <jones.thos.w@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-06 23:07:20 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-24 13:29:00 UTC; windows
Archs: i386, x64
