DESCRIPTION

Package: sentometrics
Type: Package
Title: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Version: 1.0.0
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@unine.ch", 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: 7.1.1
SystemRequirements: GNU make