meanr (0.1-2)

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) for determining sentiment. The scoring function is 'vectorized' by document, and scores for multiple documents are computed in parallel via 'OpenMP'.

Maintainer: Drew Schmidt
Author(s): Drew Schmidt [aut, cre]

License: BSD 2-clause License + file LICENSE

Uses: Does not use any package

Released 8 months ago.