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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.
Getting started
Browse package contents
Package details |
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| 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 <benjamin.h.wiseman@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://benwiseman.github.io/sentiment.ai/ https://github.com/BenWiseman/sentiment.ai |
| Package repository | View on CRAN |
| Installation |
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