tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

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

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: dplyr, stringr, hunspell, broom, Matrix, tokenizers, janeaustenr, purrr (≥ 0.1.1), methods
Suggests: readr, tidyr, XML, tm, wordcloud, knitr, rmarkdown, ggplot2, reshape2, topicmodels, quanteda, NLP, scales, gutenbergr, testthat
Published: 2016-10-28
Author: Gabriela De Queiroz [ctb], David Robinson [aut], Julia Silge [aut, cre]
Maintainer: Julia Silge <julia.silge at gmail.com>
BugReports: http://github.com/juliasilge/tidytext/issues
License: MIT + file LICENSE
URL: http://github.com/juliasilge/tidytext
NeedsCompilation: no
Citation: tidytext citation info
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: tidytext results

Downloads:

Reference manual: tidytext.pdf
Vignettes: Tidy Term Frequency and Inverse Document Frequency (tf-idf)
Converting to and from Document-Term Matrices and Corpus objects
Introduction to tidytext
Tidy Topic Modeling
Package source: tidytext_0.1.2.tar.gz
Windows binaries: r-devel: tidytext_0.1.2.zip, r-release: tidytext_0.1.2.zip, r-oldrel: tidytext_0.1.2.zip
OS X Mavericks binaries: r-release: tidytext_0.1.2.tgz, r-oldrel: tidytext_0.1.2.tgz
Old sources: tidytext archive

Reverse dependencies:

Reverse imports: statquotes
Reverse suggests: gutenbergr, monkeylearn

Linking:

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