Simple Sentiment Analysis Using Deep Learning

Sentiment Analysis via deep learning and gradient boosting models with a lot of the underlying hassle taken care of to make the process as simple as possible. In addition to out-performing traditional, lexicon-based sentiment analysis (see <>), it also allows the user to create embedding vectors for text which can be used in other analyses. GPU acceleration is supported on Windows and Linux.

Package details

AuthorBen Wiseman [cre, aut, ccp], Steven Nydick [aut] (<>), Tristan Wisner [aut], Fiona Lodge [ctb], Yu-Ann Wang [ctb], Veronica Ge [art], Korn Ferry Institute [fnd]
MaintainerBen Wiseman <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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