A popular technique in text analysis today is sentiment analysis, or trying to determine the overall emotional attitude of a piece of text (positive or negative). We provide a new, basic implementation of a common method for computing sentiment, whereby words are scored as positive or negative according to a "dictionary", and then an average of those scores for the document is produced. The package uses the 'Hu' and 'Liu' sentiment dictionary for assigning sentiment.
Version: | 0.1-0 |
Depends: | R (≥ 3.0.0) |
Published: | 2017-06-07 |
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 |
Reference manual: | meanr.pdf |
Package source: | meanr_0.1-0.tar.gz |
Windows binaries: | r-devel: meanr_0.1-0.zip, r-release: meanr_0.1-0.zip, r-oldrel: meanr_0.1-0.zip |
OS X El Capitan binaries: | r-release: meanr_0.1-0.tgz |
OS X Mavericks binaries: | r-oldrel: meanr_0.1-0.tgz |
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