textmineR: Functions for Text Mining and Topic Modeling

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.

Version: 2.0.6
Depends: R (≥ 3.0.2), Matrix
Imports: methods, lda, parallel, topicmodels, text2vec (≥ 0.5), tm, stringr, SnowballC, Rcpp (≥ 0.12.12), RcppProgress, RSpectra
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: digest
Published: 2017-08-17
Author: Thomas Jones [aut, cre], William Doane [ctb]
Maintainer: Thomas Jones <jones.thos.w at gmail.com>
BugReports: https://github.com/TommyJones/textmineR/issues
License: GPL (≥ 3)
URL: https://github.com/TommyJones/textmineR
NeedsCompilation: yes
SystemRequirements: GNU make, C++11
Materials: README
CRAN checks: textmineR results


Reference manual: textmineR.pdf
Package source: textmineR_2.0.6.tar.gz
Windows binaries: r-devel: textmineR_2.0.6.zip, r-release: textmineR_2.0.6.zip, r-oldrel: textmineR_2.0.6.zip
OS X El Capitan binaries: r-release: textmineR_2.0.6.tgz
OS X Mavericks binaries: r-oldrel: textmineR_2.0.6.tgz
Old sources: textmineR archive


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