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:Subhasree Bose <[email protected]> with contributons from Saptarsi Goswami.

RSentiment_2.2.2.tar.gz
RSentiment_2.2.2.tar.gz(r-4.5-noble)RSentiment_2.2.2.tar.gz(r-4.4-noble)
RSentiment_2.2.2.tgz(r-4.4-emscripten)RSentiment_2.2.2.tgz(r-4.3-emscripten)
RSentiment.pdf |RSentiment.html
RSentiment/json (API)

# Install 'RSentiment' in R:
install.packages('RSentiment', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openjdk

3.39 score 49 scripts 361 downloads 1 mentions 6 exports 14 dependencies

Last updated 7 years agofrom:97259e8ea4. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025

Exports:calculate_custom_scorecalculate_custom_sentimentcalculate_custom_total_presence_sentimentcalculate_scorecalculate_sentimentcalculate_total_presence_sentiment

Dependencies:cligluelifecyclemagrittrNLPopenNLPopenNLPdataplyrRcpprJavarlangstringistringrvctrs

Introduction to RSentiment

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2018-07-27
Started: 2016-12-25