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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: 3.0.5
Depends: R (≥ 3.0.2), Matrix
Imports: gtools, magrittr, methods, parallel, text2vec (≥ 0.5), stopwords, stringr, Rcpp, RcppProgress, RSpectra, utils
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: spelling, digest, dplyr, igraph, knitr, lda, MASS, rmarkdown, SnowballC, stringi, testthat, tibble, tidyr, tidytext, topicmodels, wordcloud
Published: 2021-06-28
DOI: 10.32614/CRAN.package.textmineR
Author: Tommy Jones [aut, cre], William Doane [ctb], Mattias Attbom [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
Language: en-US
Materials: README NEWS
CRAN checks: textmineR results

Documentation:

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

Downloads:

Package source: textmineR_3.0.5.tar.gz
Windows binaries: r-devel: textmineR_3.0.5.zip, r-release: textmineR_3.0.5.zip, r-oldrel: textmineR_3.0.5.zip
macOS binaries: r-release (arm64): textmineR_3.0.5.tgz, r-oldrel (arm64): textmineR_3.0.5.tgz, r-release (x86_64): textmineR_3.0.5.tgz, r-oldrel (x86_64): textmineR_3.0.5.tgz
Old sources: textmineR archive

Reverse dependencies:

Reverse imports: LDABiplots, LDAShiny, MadanText, MadanTextNetwork
Reverse suggests: mvrsquared

Linking:

Please use the canonical form https://CRAN.R-project.org/package=textmineR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.