The notebook and Python files provided here, once completed, result in a simple web app which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews. This project use assumes some familiarity with SageMaker Sentiment Analysis using Pytorch, should provide enough background.
- Download or otherwise retrieve the data.
- Process / Prepare the data.
- Upload the processed data to S3.
- Train a chosen model.
- Test the trained model (typically using a batch transform job).
- Deploy the trained model.
- Use the deployed model.
SageMaker Deployment process
Using the positive reviews
Using the negative review
Please see the README in the root directory for instructions on setting up a SageMaker notebook and downloading the project files (as well as the other notebooks).
I had to upload the index.html in order to work