syuzhet: Extracts Sentiment and Sentiment-Derived Plot Arcs from Text

Extracts sentiment and sentiment-derived plot arcs from text using three sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include "syuzhet" (default) developed in the Nebraska Literary Lab "afinn" developed by Finn {\AA}rup Nielsen, "bing" developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D. Applicable references are available in README.md and in the documentation for the "get_sentiment" function. The package also provides a hack for implementing Stanford's coreNLP sentiment parser. The package provides several methods for plot arc normalization.

Version: 1.0.1
Imports: openNLP, NLP, zoo, dtt, stats, graphics
Suggests: knitr, pander, testthat (≥ 0.9.1)
Published: 2017-03-06
Author: Matthew Jockers [aut, cre]
Maintainer: Matthew Jockers <mjockers at gmail.com>
License: GPL-3
URL: https://github.com/mjockers/syuzhet
NeedsCompilation: no
Citation: syuzhet citation info
Materials: README
CRAN checks: syuzhet results

Downloads:

Reference manual: syuzhet.pdf
Vignettes: Introduction to the Syuzhet Package
Package source: syuzhet_1.0.1.tar.gz
Windows binaries: r-devel: syuzhet_1.0.1.zip, r-release: syuzhet_1.0.1.zip, r-oldrel: syuzhet_1.0.1.zip
OS X El Capitan binaries: r-release: syuzhet_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: syuzhet_1.0.1.tgz
Old sources: syuzhet archive

Reverse dependencies:

Reverse imports: lexicon, sentimentr

Linking:

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