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 <https://benwiseman.github.io/sentiment.ai/#Benchmarks>), 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.
|Author||Ben Wiseman [cre, aut, ccp], Steven Nydick [aut] (<https://orcid.org/0000-0002-2908-1188>), Tristan Wisner [aut], Fiona Lodge [ctb], Yu-Ann Wang [ctb], Veronica Ge [art], Korn Ferry Institute [fnd]|
|Maintainer||Ben Wiseman <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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