textmineR (3.0.2)

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.

Maintainer: Thomas W. Jones
Author(s): Thomas Jones [aut, cre], William Doane [ctb]

License: MIT + file LICENSE

Uses: Matrix, Rcpp, RcppProgress, RSpectra, stopwords, stringr, text2vec, digest, igraph, lda, MASS, topicmodels, testthat, wordcloud, knitr, SnowballC, dplyr, stringi, tidyr, rmarkdown, tibble, tidytext
Reverse suggests: mvrsquared

Released about 1 year ago.