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: | 2.1.1 |
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, igraph, knitr, MASS, rmarkdown, stringi, wordcloud |
Published: | 2018-03-06 |
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 |
Vignettes: |
1. Start here 2. document clustering 3. Topic modeling 4. Text embeddings 5. Document summarization |
Package source: | textmineR_2.1.1.tar.gz |
Windows binaries: | r-devel: textmineR_2.1.1.zip, r-release: textmineR_2.1.1.zip, r-oldrel: textmineR_2.1.1.zip |
OS X binaries: | r-release: textmineR_2.1.1.tgz, r-oldrel: textmineR_2.1.1.tgz |
Old sources: | textmineR archive |
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