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:
meanr_0.1-6.tar.gz
meanr_0.1-6.tar.gz(r-4.5-noble)meanr_0.1-6.tar.gz(r-4.4-noble)
meanr_0.1-6.tgz(r-4.4-emscripten)meanr_0.1-6.tgz(r-4.3-emscripten)
meanr.pdf |meanr.html✨
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
Last updated 1 years agofrom:a204183f8f. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux-x86_64 | OK | Dec 03 2024 |
Exports:meanr.nthreadsscore
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| meanr: Sentiment Analysis Scorer | meanr-package |
| meanr.nthreads | meanr.nthreads |
| score | score |
