Package: meanr 0.1-6

Drew Schmidt

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'.

Authors:Drew Schmidt [aut, cre]

meanr_0.1-6.tar.gz
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meanr/json (API)

# Install 'meanr' in R:
install.packages('meanr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/wrathematics/meanr/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

openmp

1.70 score 8 scripts 449 downloads 2 exports 0 dependencies

Last updated 12 months agofrom:a204183f8f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linux-x86_64OKDec 03 2024

Exports:meanr.nthreadsscore

Dependencies: