Text mining for word processing and sentiment analysis using 'dplyr', 'ggplot2', and other tidy tools.

Maintainer: Julia Silge <julia.silge at gmail.com>

Author(s): Gabriela De Queiroz*, Oliver Keyes*, David Robinson*, Julia Silge*

Install package and any missing dependencies by running this line in your R console:

install.packages("tidytext")

Depends R (>= 2.10)
Imports dplyr, stringr, hunspell, broom, Matrix, tokenizers, janeaustenr, purrr(>=0.1.1), methods
Suggests readr, tidyr, XML, tm, quanteda, wordcloud, knitr, rmarkdown, ggplot2, reshape2, topicmodels, NLP, scales, gutenbergr, testthat, mallet
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Package tidytext
Materials
URL http://github.com/juliasilge/tidytext
Task Views NaturalLanguageProcessing
Version 0.1.3
Published 2017-06-19
License MIT + file LICENSE
BugReports http://github.com/juliasilge/tidytext/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks tidytext check results
Package source tidytext_0.1.3.tar.gz