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
meanr_0.1-6.tar.gz(r-4.7-arm64)meanr_0.1-6.tar.gz(r-4.7-x86_64)meanr_0.1-6.tar.gz(r-4.6-arm64)meanr_0.1-6.tar.gz(r-4.6-x86_64)
meanr_0.1-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
meanr/json (API)

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

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

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

On CRAN:

Conda:

openmp

1.70 score 8 scripts 339 downloads 2 exports 0 dependencies

Last updated from:a204183f8f. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK107
source / vignettesOK142
linux-release-arm64OK111
linux-release-x86_64OK118
wasm-releaseOK94

Exports:meanr.nthreadsscore

Dependencies: