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.


Reference manual

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1.2-0 by Stefan Feuerriegel, 4 months ago


Report a bug at https://github.com/sfeuerriegel/SentimentAnalysis/issues

Browse source code at https://github.com/cran/SentimentAnalysis

Authors: Stefan Feuerriegel [aut, cre], Nicolas Proellochs [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports tm, qdapDictionaries, ngramrr, moments, stringdist, SnowballC, XML, glmnet, spikeslab, ggplot2, mgcv

Suggests testthat, knitr, rmarkdown

See at CRAN