https://github.com/danwild/sagemaker-sentiment-analysis

A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker
https://github.com/danwild/sagemaker-sentiment-analysis

lstm rnn rnn-pytorch sagemaker-example sentiment-analysis udacity-nanodegree

Last synced: 4 months ago
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A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker

• Host: GitHub
• URL: https://github.com/danwild/sagemaker-sentiment-analysis
• Owner: danwild
• License: apache-2.0
• Created: 2019-07-08T04:15:07.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-12T03:32:16.000Z (almost 7 years ago)
• Last Synced: 2025-07-28T14:53:10.009Z (10 months ago)
• Topics: lstm, rnn, rnn-pytorch, sagemaker-example, sentiment-analysis, udacity-nanodegree
• Language: HTML
• Homepage:
• Size: 294 KB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# sagemaker-sentiment-analysis [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/danwild/sagemaker-sentiment-analysis/master)

A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker.

Example use-case - determine whether a movie review is positive or negative.

![Screenshot](/evil-dead-review.png?raw=true)

"Evil Dead" feature review excerpt: [IMDB](https://www.imdb.com/review/rw0193331/?ref_=tt_urv)