https://github.com/tfesenko/sentiment-analysis-model-deployed-to-aws
Deploying a Sentiment Analysis Model Project is a part of Udacity Deep Learning Nanodegree
https://github.com/tfesenko/sentiment-analysis-model-deployed-to-aws
Last synced: 3 months ago
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Deploying a Sentiment Analysis Model Project is a part of Udacity Deep Learning Nanodegree
- Host: GitHub
- URL: https://github.com/tfesenko/sentiment-analysis-model-deployed-to-aws
- Owner: tfesenko
- License: mit
- Created: 2019-11-22T19:22:58.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-11-25T20:19:32.000Z (over 6 years ago)
- Last Synced: 2025-10-20T10:42:51.460Z (7 months ago)
- Language: HTML
- Size: 288 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Sentiment-Analysis-Model-deployed-to-AWS
Deploying a Sentiment Analysis Model Project is a part of Udacity Deep Learning Nanodegree.
The prediction model is implemented in PyTorch and deployed to AWS SageMaker.
To serve it on a web page, I call the SageMaker model from a AWS Lambda service, which can be accessed via API Gateway.
## What is it?
It's a deployed web page which defines sentiment of a movie review.
Below are results for some reviews for "[Au service de la France](https://www.imdb.com/title/tt4367560/reviews?ref_=tt_urv)":
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