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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 + file LICENSE
URL: https://github.com/sfeuerriegel/SentimentAnalysis
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SentimentAnalysis results

Documentation:

Reference manual: SentimentAnalysis.pdf
Vignettes: SentimentAnalysis Vignette

Downloads:

Package source: SentimentAnalysis_1.3-5.tar.gz
Windows binaries: r-devel: SentimentAnalysis_1.3-5.zip, r-release: SentimentAnalysis_1.3-5.zip, r-oldrel: SentimentAnalysis_1.3-5.zip
macOS binaries: r-release (arm64): SentimentAnalysis_1.3-5.tgz, r-oldrel (arm64): SentimentAnalysis_1.3-5.tgz, r-release (x86_64): SentimentAnalysis_1.3-5.tgz, r-oldrel (x86_64): SentimentAnalysis_1.3-5.tgz
Old sources: SentimentAnalysis archive

Reverse dependencies:

Reverse imports: disclosuR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SentimentAnalysis to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.