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

Extracts sentiment and sentiment-derived plot arcs from text using a variety of sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include "syuzhet" (default) developed in the Nebraska Literary Lab "afinn" developed by Finn Årup 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: 1.0.7
Depends: R (≥ 3.5.0)
Imports: textshape (≥ 1.3.0), NLP, zoo, dtt, stats, graphics, dplyr, tidyr, rlang
Suggests: devtools, knitr, pander, parallel, readxl, rmarkdown, stringr, testthat (≥ 0.9.1)
Published: 2023-08-11
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

Documentation:

Reference manual: syuzhet.pdf
Vignettes: Introduction to the Syuzhet Package

Downloads:

Package source: syuzhet_1.0.7.tar.gz
Windows binaries: r-devel: syuzhet_1.0.7.zip, r-release: syuzhet_1.0.7.zip, r-oldrel: syuzhet_1.0.7.zip
macOS binaries: r-release (arm64): syuzhet_1.0.7.tgz, r-oldrel (arm64): syuzhet_1.0.7.tgz, r-release (x86_64): syuzhet_1.0.7.tgz, r-oldrel (x86_64): syuzhet_1.0.7.tgz
Old sources: syuzhet archive

Reverse dependencies:

Reverse depends: TextMiningGUI
Reverse imports: disclosuR, lexicon, sentimentr, tsentiment, VOSONDash, zoomGroupStats

Linking:

Please use the canonical form https://CRAN.R-project.org/package=syuzhet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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