Package: SentimentAnalysis
Type: Package
Title: Dictionary-Based Sentiment Analysis
Version: 1.3-5
Date: 2023-08-23
Authors@R: c(person("Nicolas", "Proellochs", email="nicolas@nproellochs.com",
                    role=c("aut", "cre")),
            person("Stefan", "Feuerriegel", email="sentiment@sfeuerriegel.com",
                    role=c("aut")))
Description: Performs a sentiment analysis of textual contents in R. This implementation
    utilizes various existing dictionaries, such as Harvard IV, or finance-specific 
    dictionaries. Furthermore, it can also create customized dictionaries. The latter 
    uses LASSO regularization as a statistical approach to select relevant terms based on 
    an exogenous response variable. 
License: MIT + file LICENSE
URL: https://github.com/sfeuerriegel/SentimentAnalysis
BugReports: https://github.com/sfeuerriegel/SentimentAnalysis/issues
Depends: R (>= 2.10)
Imports: tm (>= 0.6), qdapDictionaries, ngramrr (>= 0.1), moments,
        stringdist, glmnet, spikeslab (>= 1.1), ggplot2
Suggests: testthat, knitr, rmarkdown, SnowballC, XML, mgcv
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-08-23 19:43:52 UTC; nproe
Author: Nicolas Proellochs [aut, cre],
  Stefan Feuerriegel [aut]
Maintainer: Nicolas Proellochs <nicolas@nproellochs.com>
Repository: CRAN
Date/Publication: 2023-08-23 20:10:03 UTC
Built: R 4.6.0; ; 2026-04-26 06:58:06 UTC; unix
