bchehab / Deploying-a-Sentiment-Analysis-Model

This project uses AWS SageMaker to build and deploy a sentiment analysis model(RNN) that infers whether a movie review is POSITIVE or NEGATIVE. It makes use of S3, lambda , API Gateway, and PyTorch for building the model.

SageMaker Deployment Project

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 assumes some familiarity with SageMaker, the mini-project, Sentiment Analysis using XGBoost, should provide enough background.

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).