AWS SageMaker Sentiment Analysis Deployment Project

Project Summary

• A simple web app classifies/indicates whether a movie review is positive or negative.
• The selected machine learning model is Long Short-Term Memory (LSTM)
• The model accuracy is 83.6%
• AWS SageMaker is used to deploy the model to the production.

Technology

• Python
• AWS SageMaker

Getting started

1. Clone this repository (for help see this tutorial).
2. Open the Jupyter Notebook file,SageMaker Project.ipynb, and follow the instructions.
3. After using the notebook, remember shutting down your endpoint otherwise it will cost a lot of money unexpectedly. The code for shutting down the endpoint located at the very end in the notebook as follows: predictor.delete_endpoint()

Project Demonstration

A demonstration video illustrates how the web application works.