Functions for Text Mining and Topic Modeling R package textmineR version 3.0.6 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. Software 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 Tommy Jones <jones.thos.w@gmail.com> Comprehensive R Archive Network (CRAN) Tommy Jones [aut, cre], William Doane [ctb], Mattias Attbom [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=textmineR/LICENSE) 2025-10-18 application/tgz https://CRAN.R-project.org/package=textmineR doi:10.32614/CRAN.package.textmineR en-US