The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

RSentiment: Analyse Sentiment of English Sentences

Analyses sentiment of a sentence in English and assigns score to it. It can classify sentences to the following categories of sentiments:- Positive, Negative, very Positive, very negative, Neutral. For a vector of sentences, it counts the number of sentences in each category of sentiment.In calculating the score, negation and various degrees of adjectives are taken into consideration. It deals only with English sentences.

Version: 2.2.2
Depends: R (≥ 2.1.0)
Imports: plyr, stringr, openNLP, NLP
Suggests: knitr, rmarkdown, testthat
Published: 2018-07-27
DOI: 10.32614/CRAN.package.RSentiment
Author: Subhasree Bose with contributons from Saptarsi Goswami.
Maintainer: Subhasree Bose <subhasree10.7 at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: RSentiment results

Documentation:

Reference manual: RSentiment.pdf
Vignettes: Introduction to RSentiment

Downloads:

Package source: RSentiment_2.2.2.tar.gz
Windows binaries: r-devel: RSentiment_2.2.2.zip, r-release: RSentiment_2.2.2.zip, r-oldrel: RSentiment_2.2.2.zip
macOS binaries: r-release (arm64): RSentiment_2.2.2.tgz, r-oldrel (arm64): RSentiment_2.2.2.tgz, r-release (x86_64): RSentiment_2.2.2.tgz, r-oldrel (x86_64): RSentiment_2.2.2.tgz
Old sources: RSentiment archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RSentiment 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.