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.
- Version0.1.1
- R version≥ 4.0.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release03/19/2022
Documentation
Team
Ben Wiseman
Steven Nydick
Show author detailsRolesAuthorTristan Wisner
Show author detailsRolesAuthorFiona Lodge
Show author detailsRolesContributorYu-Ann Wang
Show author detailsRolesContributorVeronica Ge
Show author detailsRolesartKorn Ferry Institute
Show author detailsRolesfnd
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Dependencies
- Imports7 packages
- Suggests8 packages