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sentiment.ai: 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 <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.

Version: 0.1.1
Depends: R (≥ 4.0.0)
Imports: data.table (≥ 1.12.8), jsonlite, reticulate (≥ 1.16), roperators (≥ 1.2.0), stats, tensorflow (≥ 2.2.0), tfhub (≥ 0.8.0), utils, xgboost
Suggests: rmarkdown, knitr, magrittr, microbenchmark, prettydoc, rappdirs, rstudioapi, text2vec (≥ 0.6)
Published: 2022-03-19
DOI: 10.32614/CRAN.package.sentiment.ai
Author: Ben Wiseman [cre, aut, ccp], Steven Nydick ORCID iD [aut], Tristan Wisner [aut], Fiona Lodge [ctb], Yu-Ann Wang [ctb], Veronica Ge [art], Korn Ferry Institute [fnd]
Maintainer: Ben Wiseman <benjamin.h.wiseman at gmail.com>
License: MIT + file LICENSE
URL: https://benwiseman.github.io/sentiment.ai/, https://github.com/BenWiseman/sentiment.ai
NeedsCompilation: no
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: sentiment.ai results

Documentation:

Reference manual: sentiment.ai.pdf
Vignettes: sentiment.ai

Downloads:

Package source: sentiment.ai_0.1.1.tar.gz
Windows binaries: r-devel: sentiment.ai_0.1.1.zip, r-release: sentiment.ai_0.1.1.zip, r-oldrel: sentiment.ai_0.1.1.zip
macOS binaries: r-release (arm64): sentiment.ai_0.1.1.tgz, r-oldrel (arm64): sentiment.ai_0.1.1.tgz, r-release (x86_64): sentiment.ai_0.1.1.tgz, r-oldrel (x86_64): sentiment.ai_0.1.1.tgz
Old sources: sentiment.ai archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sentiment.ai 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.