Package: meanr
Type: Package
Title: Sentiment Analysis Scorer
Version: 0.1-6
Description: 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'.
License: BSD 2-clause License + file LICENSE
Depends: R (>= 3.0.0)
LazyLoad: yes
NeedsCompilation: yes
ByteCompile: yes
Authors@R: c(person("Drew", "Schmidt", role=c("aut", "cre"), 
    email="wrathematics@gmail.com"))
Maintainer: Drew Schmidt <wrathematics@gmail.com>
URL: https://github.com/wrathematics/meanr
BugReports: https://github.com/wrathematics/meanr/issues
RoxygenNote: 7.2.1
Packaged: 2023-12-10 18:49:07 UTC; mschmid3
Author: Drew Schmidt [aut, cre]
Repository: CRAN
Date/Publication: 2023-12-10 19:00:08 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2023-12-10 19:16:30 UTC; unix
Archs: meanr.so.dSYM
