meanr-package: meanr: Sentiment Analysis Scorer

Description Author(s)


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.


Drew Schmidt wrathematics AT

meanr documentation built on July 20, 2019, 1:04 a.m.