Package: meanr 0.1-6

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]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
meanr/json (API)

# Install 'meanr' in R:

install.packages('meanr', repos = c('https://wrathematics.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:

openmp

4.06 score 23 stars 10 scripts 222 downloads 2 exports 0 dependencies

Last updated from:b6d1dc2638. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	138
linux-devel-x86_64	OK	113
source / vignettes	OK	149
linux-release-arm64	OK	88
linux-release-x86_64	OK	106
macos-release-arm64	OK	108
macos-release-x86_64	OK	215
macos-oldrel-arm64	OK	135
macos-oldrel-x86_64	OK	282
windows-devel-arm64	OK	322
windows-devel-x86_64	OK	109
windows-release-arm64	OK	325
windows-release-x86_64	OK	67
windows-oldrel-x86_64	OK	71
wasm-release	OK	110