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:
3.0.6
Imports:
gtools,
magrittr, methods, parallel,
text2vec (≥ 0.5),
stopwords,
stringr,
Rcpp,
RcppProgress,
RSpectra, utils
Suggests:
spelling,
digest,
dplyr,
igraph,
knitr,
lda,
MASS,
rmarkdown,
SnowballC,
stringi,
testthat,
tibble,
tidyr,
tidytext,
topicmodels,
wordcloud
Published:
2025年10月18日
Author:
Tommy Jones [aut, cre],
William Doane [ctb],
Mattias Attbom [ctb]
Maintainer:
Tommy Jones <jones.thos.w at gmail.com>
NeedsCompilation:
yes
SystemRequirements:
GNU make
Language:
en-US
Documentation:
Downloads:
Reverse dependencies:
Linking:
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