Movatterモバイル変換


[0]ホーム

URL:


sentopics: Tools for Joint Sentiment and Topic Analysis of Textual Data

A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.

Version:0.7.6
Depends:R (≥ 3.5.0)
Imports:Rcpp (≥ 1.0.4.6), methods,generics,quanteda (≥ 3.2.0),data.table (≥ 1.13.6),RcppHungarian
LinkingTo:Rcpp,RcppArmadillo,RcppProgress
Suggests:ggplot2,ggridges,plotly,RColorBrewer,xts,zoo,future,future.apply,progressr,progress,testthat,covr,stm,lda,topicmodels,seededlda (≥ 1.4.0),keyATM,LDAvis,servr,textcat,stringr,sentometrics,spacyr,knitr,rmarkdown,webshot
Published:2025-10-15
DOI:10.32614/CRAN.package.sentopics
Author:Olivier DelmarcelleORCID iD [aut, cre], Samuel BormsORCID iD [ctb], Chengua Lin [cph] (Original JST implementation), Yulan He [cph] (Original JST implementation), Jose Bernardo [cph] (Original JST implementation), David Robinson [cph] (Implementation of reorder_within()), Julia SilgeORCID iD [cph] (Implementation of reorder_within())
Maintainer:Olivier Delmarcelle <delmarcelle.olivier at gmail.com>
BugReports:https://github.com/odelmarcelle/sentopics/issues
License:GPL (≥ 3)
URL:https://github.com/odelmarcelle/sentopics
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:sentopics results

Documentation:

Reference manual:sentopics.html ,sentopics.pdf
Vignettes:Basic usage (source,R code)
Topical time series (source,R code)

Downloads:

Package source: sentopics_0.7.6.tar.gz
Windows binaries: r-devel:sentopics_0.7.6.zip, r-release:sentopics_0.7.6.zip, r-oldrel:sentopics_0.7.6.zip
macOS binaries: r-release (arm64):sentopics_0.7.6.tgz, r-oldrel (arm64):sentopics_0.7.6.tgz, r-release (x86_64):sentopics_0.7.6.tgz, r-oldrel (x86_64):sentopics_0.7.6.tgz
Old sources: sentopics archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=sentopicsto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp