This package uses Google's Universal Sentence Encoder, simplifies all the difficulties, and turns it into a sentiment analysis package.
Tolerates spelling mitsakes
Not dependent on exactly matching a fixed dictionary
Requires less pre-processing
More powerful than dictionary-based methods
Requires a lot of RAM
Can be slow on larger datasets (unless using GPU)
Effectively, if you have a reasonably powerful computer, you can use sentiment.ai as a more flexible, powerful, and modern approach to sentiment analysis.
Maintainer: Ben Wiseman email@example.com [conceptor]
Fiona Lodge firstname.lastname@example.org [contributor]
Yu-Ann Wang email@example.com [contributor]
Veronica Ge firstname.lastname@example.org [artist]
Korn Ferry Institute KFInstituteRequests@KornFerry.com [funder]
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