SentimentAnalysis: Dictionary-Based Sentiment Analysis (original) (raw)
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 |
| BugReports: | https://github.com/sfeuerriegel/SentimentAnalysis/issues |
| License: | MIT + file |
| URL: | https://github.com/sfeuerriegel/SentimentAnalysis |
| NeedsCompilation: | no |
| Materials: | README, |
| CRAN checks: | SentimentAnalysis results |
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