Methods | Score Range | Sentiment Categories | More Examples
Package: RSentiment 2.2.2
Subhasree Bose
RSentiment: Analyse Sentiment of English Sentences
Analyses sentiment of a sentence in English and assigns score to it. It can classify sentences to the following categories of sentiments:- Positive, Negative, very Positive, very negative, Neutral. For a vector of sentences, it counts the number of sentences in each category of sentiment.In calculating the score, negation and various degrees of adjectives are taken into consideration. It deals only with English sentences.
Authors:
RSentiment_2.2.2.tar.gz
RSentiment_2.2.2.tar.gz(r-4.7-any)RSentiment_2.2.2.tar.gz(r-4.6-any)
RSentiment_2.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RSentiment/json (API)
| # Install 'RSentiment' in R: |
| install.packages('RSentiment', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:97259e8ea4. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 120 |
Exports:calculate_custom_scorecalculate_custom_sentimentcalculate_custom_total_presence_sentimentcalculate_scorecalculate_sentimentcalculate_total_presence_sentiment
Dependencies:cligluelifecyclemagrittrNLPopenNLPopenNLPdataplyrRcpprJavarlangstringistringrvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate the score of sentences | calculate_custom_score |
| Predicts the sentiment of sentences | calculate_custom_sentiment |
| Calculate the number of sentences in each category of sentiment. | calculate_custom_total_presence_sentiment |
| Calculate the score of sentences | calculate_score |
| Predicts the sentiment of sentences | calculate_sentiment |
| Calculate the number of sentences in each category of sentiment. | calculate_total_presence_sentiment |