Tools for Joint Sentiment and Topic Analysis of Textual Data R package sentopics version 0.7.7 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. Software 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 Olivier Delmarcelle <delmarcelle.olivier@gmail.com> Comprehensive R Archive Network (CRAN) Olivier Delmarcelle [aut, cre] (ORCID: <https://orcid.org/0000-0003-4347-070X>), Samuel Borms [ctb] (ORCID: <https://orcid.org/0000-0001-9533-1870>), 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 Silge [cph] (Implementation of reorder_within(), ORCID: <https://orcid.org/0000-0002-3671-836X>) GPL (>= 3) 2026-07-29 application/tgz https://CRAN.R-project.org/package=sentopics doi:10.32614/CRAN.package.sentopics