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.
Version: 1.3-5 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 Published: 2023-08-23 DOI: 10.32614/CRAN.package.SentimentAnalysis Author: Nicolas Proellochs [aut, cre], Stefan Feuerriegel [aut] Maintainer: Nicolas Proellochs <nicolas at nproellochs.com> BugReports: https://github.com/sfeuerriegel/SentimentAnalysis/issues License: MIT + file LICENSE URL: https://github.com/sfeuerriegel/SentimentAnalysis NeedsCompilation: no Materials: README NEWS CRAN checks: SentimentAnalysis results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=SentimentAnalysis to link to this page.
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