SentimentAnalysis (1.3-3)

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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.

Maintainer: Stefan Feuerriegel
Author(s): Stefan Feuerriegel [aut, cre], Nicolas Proellochs [aut]

License: MIT + file LICENSE

Uses: ggplot2, glmnet, moments, ngramrr, qdapDictionaries, spikeslab, stringdist, tm, XML, mgcv, testthat, knitr, SnowballC, rmarkdown

Released 9 months ago.

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