DESCRIPTION

Package: sentopics
Type: Package
Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Version: 0.7.5
Date: 2025-01-08
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 (>= 1.4.0),
    keyATM,
    LDAvis,
    servr,
    textcat,
    stringr,
    sentometrics,
    spacyr,
    knitr,
    rmarkdown,
    webshot
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RcppModules: model_module
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
LazyData: true
VignetteBuilder: knitr