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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 |
| Reference manual: | RSentiment.pdf |
| Vignettes: |
Introduction to RSentiment |
| 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 |
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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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