R help - Mar 2022 - sentiment.ai CRAN package (vignette is on github.io - package is hosted on CRAN)

An easy way to do sentiment analysis (and more) based on deep learning:
sentiment.ai, now on CRAN!
https://cran.r-project.org/web/packages/sentiment.ai/index.html

sentiment.ai  does sentiment analysis via deep learning (with tensorflow) 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, and even Azure Cognitive Services
(see https://benwiseman.github.io/sentiment.ai/#Benchmarks), it also allows the
user to create embedding vectors for text (via Google's U.S.E.) which can be
used in other analyses (e.g. text similarity). What's more is that the
community can contribute better sentiment scoring models to make sentiment
analysis in R get better and better over time. Our aim is to make sentiment
analysis more consistently good for all people with as little hassle as
possible. GPU acceleration via NVIDIA CUDA is supported on Windows and Linux.

To install the package, run:
install.packages("sentiment.ai")
# followed by
sentiment.ai::install_sentiment.ai() # to set up python/tensorflow dependencies



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