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'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

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

6 exports 0.23 score 14 dependencies 1 mentions 44 scripts 290 downloads

Last updated 6 years agofrom:97259e8ea4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-linuxOKSep 17 2024

Exports:calculate_custom_scorecalculate_custom_sentimentcalculate_custom_total_presence_sentimentcalculate_scorecalculate_sentimentcalculate_total_presence_sentiment

Dependencies:cligluelifecyclemagrittrNLPopenNLPopenNLPdataplyrRcpprJavarlangstringistringrvctrs

Introduction to RSentiment

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Sep 17 2024.

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