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: | 3.0.4 |
Depends: | R (≥ 3.0.2), Matrix |
Imports: | gtools, magrittr, methods, parallel, text2vec (≥ 0.5), stopwords, stringr, Rcpp, RcppProgress, RSpectra |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Suggests: | digest, dplyr, igraph, knitr, lda, MASS, rmarkdown, SnowballC, stringi, testthat, tibble, tidyr, tidytext, topicmodels, wordcloud |
Published: | 2019-04-18 |
Author: | Tommy Jones [aut, cre], William Doane [ctb] |
Maintainer: | Tommy Jones <jones.thos.w at gmail.com> |
BugReports: | https://github.com/TommyJones/textmineR/issues |
License: | MIT + file LICENSE |
URL: | https://www.rtextminer.com/ |
NeedsCompilation: | yes |
SystemRequirements: | GNU make, C++11 |
Materials: | README NEWS |
CRAN checks: | textmineR results |
Reference manual: | textmineR.pdf |
Vignettes: |
1. Start here 2. document clustering 3. Topic modeling 4. Text embeddings 5. Document summarization 6. Using tidytext with textmineR |
Package source: | textmineR_3.0.4.tar.gz |
Windows binaries: | r-devel: textmineR_3.0.4.zip, r-release: textmineR_3.0.4.zip, r-oldrel: textmineR_3.0.4.zip |
macOS binaries: | r-release: textmineR_3.0.4.tgz, r-oldrel: textmineR_3.0.4.tgz |
Old sources: | textmineR archive |
Reverse suggests: | mvrsquared |
Please use the canonical form https://CRAN.R-project.org/package=textmineR to link to this page.