textmineR: Functions for Text Mining and Topic Modeling (original) (raw)
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:
3.0.6
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:
2025-10-18
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
URL:
NeedsCompilation:
yes
SystemRequirements:
GNU make
Language:
en-US
Materials:
CRAN checks: