SentimentAnalysis: Dictionary-Based Sentiment Analysis
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 + fileLICENSE |
| URL: | https://github.com/sfeuerriegel/SentimentAnalysis |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | SentimentAnalysis results |
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