Package: sentopics
Type: Package
Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Version: 1.0.0
Authors@R: c(
  person("Olivier", "Delmarcelle", email = "delmarcelle.olivier@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4347-070X")),
  person("Samuel", "Borms", email = "samuel.borms@unine.ch", role = c("ctb"), comment = c(ORCID = "0000-0001-9533-1870")),
  person("Chengua", "Lin", email = "chenghua.lin@abdn.ac.uk", role = "cph", comment = "Original JST implementation"),
  person("Yulan", "He", email = "yulan.he@warwick.ac.uk", role = "cph", comment = "Original JST implementation"),
  person("Jose", "Bernardo", role = "cph", comment = "Original JST implementation"),
  person("David", "Robinson", , "admiral.david@gmail.com", role = "cph", comment = "Implementation of reorder_within()"),
  person("Julia", "Silge", , "julia.silge@gmail.com", role = "cph",
           comment = c("Implementation of reorder_within()", ORCID = "0000-0002-3671-836X"))
  )
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>
Description: 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.
License: GPL (>= 3)
BugReports: https://github.com/odelmarcelle/sentopics/issues
URL: https://github.com/odelmarcelle/sentopics
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.4.6), methods, generics, quanteda (>= 3.2.0),
        data.table (>= 1.13.6), RcppHungarian
Suggests: ggplot2, ggridges, plotly, RColorBrewer, xts, zoo, future,
        future.apply, progressr, progress, testthat, covr, stm, lda,
        topicmodels, seededlda (>= 1.4.3), keyATM, LDAvis, servr,
        textcat, stringr, sentometrics, spacyr, knitr, rmarkdown,
        webshot
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RcppModules: model_module
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
LazyData: true
VignetteBuilder: knitr
Config/pak/sysreqs: libicu-dev libxml2-dev
Repository: https://odelmarcelle.r-universe.dev
Date/Publication: 2025-10-15 17:27:12 UTC
RemoteUrl: https://github.com/odelmarcelle/sentopics
RemoteRef: HEAD
RemoteSha: 3df259a7ca7c8f9446dd610ec6364e252e7f559b
NeedsCompilation: yes
Packaged: 2026-06-12 07:14:29 UTC; root
Author: 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>)