https://github.com/aws-samples/aws-sentiment-analysis-mxnet-gluon

This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' using Apache MXNet and the Gluon programming interface.
https://github.com/aws-samples/aws-sentiment-analysis-mxnet-gluon

Last synced: 2 months ago
JSON representation

This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' using Apache MXNet and the Gluon programming interface.

• Host: GitHub
• URL: https://github.com/aws-samples/aws-sentiment-analysis-mxnet-gluon
• Owner: aws-samples
• License: other
• Created: 2017-11-16T23:08:33.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-12-20T00:30:41.000Z (about 6 years ago)
• Last Synced: 2024-08-01T22:41:46.384Z (5 months ago)
• Language: Jupyter Notebook
• Size: 28.3 KB
• Stars: 23
• Watchers: 7
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• Awesome-MXNet - sentiment-analysis(Gluon:star:)

README

        
Sentiment Analysis with Apache MXNet and Gluon

This tutorial walks you through how to implement a sentiment analysis model to classify movie reviews as either 'Positive' or 'Negative' using Apache MXNet and the Gluon programming interface.

## License

This library is licensed under the Amazon Software License.