Package: sentometrics
Type: Package
Title: An Integrated Framework for Textual Sentiment Time Series
        Aggregation and Prediction
Version: 1.0.1
Authors@R: c(person("Samuel", "Borms", email = "borms_sam@hotmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9533-1870")),
  person("David", "Ardia", email = "david.ardia@hec.ca", role = c("aut"), comment = c(ORCID = "0000-0003-2823-782X")),
  person("Keven", "Bluteau", email = "keven.bluteau@usherbrooke.ca", role = c("aut"), comment = c(ORCID = "0000-0003-2990-4807")),
  person("Kris", "Boudt", email = "kris.boudt@vub.be", role = c("aut"), comment = c(ORCID = "0000-0002-1000-5142")),
  person("Jeroen", "Van Pelt", email = "jeroenvanpelt@hotmail.com", role = c("ctb")),
  person("Andres", "Algaba", email = "andres.algaba@vub.be", role = c("ctb")))
Maintainer: Samuel Borms <borms_sam@hotmail.com>
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2021) <doi:10.18637/jss.v099.i02>.
Depends: R (>= 3.3.0)
License: GPL (>= 2)
BugReports: https://github.com/SentometricsResearch/sentometrics/issues
URL: https://sentometrics-research.com/sentometrics/
Encoding: UTF-8
LazyData: true
Suggests: covr, doParallel, e1071, lexicon, MCS, NLP, parallel,
        randomForest, stopwords, testthat, tm
Imports: caret, compiler, data.table, foreach, ggplot2, glmnet,
        ISOweek, quanteda, Rcpp (>= 0.12.13), RcppRoll, RcppParallel,
        stats, stringi, utils
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
RoxygenNote: 7.3.2
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2025-04-03 08:00:50 UTC; saborms
Author: Samuel Borms [aut, cre] (<https://orcid.org/0000-0001-9533-1870>),
  David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>),
  Keven Bluteau [aut] (<https://orcid.org/0000-0003-2990-4807>),
  Kris Boudt [aut] (<https://orcid.org/0000-0002-1000-5142>),
  Jeroen Van Pelt [ctb],
  Andres Algaba [ctb]
Repository: CRAN
Date/Publication: 2025-04-03 09:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-05-21 15:35:56 UTC; windows
Archs: x64
