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Sentiment Analysis Web App

This project is a part of Udacity Deep Learning Nanodegree Program.

Project Overview

The goal of this project is to have a simple web page in which a user enter a movie review. The web page will then send the review to the deployed model which will predict the sentiment of the given review.

Technologies Used

  1. Python (version 3.6.3)
  2. Pytorch (version 0.4.0)
  3. Amazon SageMaker Notebook Instance

Steps Involved

  1. Download or otherwise retrieve the data.
  2. Process / Prepare the data.
  3. Upload the processed data to S3.
  4. Train a chosen model.
  5. Test the trained model.
  6. Deploy the trained model.
  7. Use the deployed model.

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Sentiment Analysis Web App using PyTorch and Amazon SageMaker

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