meanr: Sentiment Analysis Scorer

Sentiment analysis is a popular technique in text mining that attempts to determine the emotional state of some text. We provide a new implementation of a common method for computing sentiment, whereby words are scored as positive or negative according to a dictionary lookup. Then the sum of those scores is returned for the document. We use the 'Hu' and 'Liu' sentiment dictionary ('Hu' and 'Liu', 2004) <doi:10.1145/1014052.1014073> for determining sentiment. The scoring function is 'vectorized' by document, and scores for multiple documents are computed in parallel via 'OpenMP'.

Version: 0.1-2
Depends: R (≥ 3.0.0)
Published: 2019-07-19
Author: Drew Schmidt [aut, cre]
Maintainer: Drew Schmidt <wrathematics at gmail.com>
BugReports: https://github.com/wrathematics/meanr/issues
License: BSD 2-clause License + file LICENSE
URL: https://github.com/wrathematics/meanr
NeedsCompilation: yes
Citation: meanr citation info
Materials: README ChangeLog
CRAN checks: meanr results

Downloads:

Reference manual: meanr.pdf
Package source: meanr_0.1-2.tar.gz
Windows binaries: r-devel: meanr_0.1-2.zip, r-release: meanr_0.1-2.zip, r-oldrel: meanr_0.1-2.zip
OS X binaries: r-release: meanr_0.1-2.tgz, r-oldrel: meanr_0.1-2.tgz
Old sources: meanr archive

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