Simple Sentiment Analysis Using Deep Learning Documentation Simple Sentiment Analysis Using Deep Learning


This package uses Google's Universal Sentence Encoder, simplifies all the difficulties, and turns it into a sentiment analysis package.

Main Benefits:

  • Tolerates spelling mitsakes

  • Not dependent on exactly matching a fixed dictionary

  • Requires less pre-processing

  • More powerful than dictionary-based methods

Main Drawbacks:

  • 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 as a more flexible, powerful, and modern approach to sentiment analysis.


Maintainer: Ben Wiseman [conceptor]


Other contributors:

See Also

Useful links: documentation built on March 19, 2022, 2:15 a.m.