/Deploy-a-Sentiment-Analysis-Model-using-AWS-Sagemaker

In this project, I have built a Sentiment Analysis Model on PyTorch to predict sentiment of movie reviews. This model has been deployed as a web app using AWS Sagemaker.

Primary LanguageJupyter NotebookMIT LicenseMIT

Deploy a Sentiment Analysis Web App Using AWS Sagemaker

Project Overview

In this project, I have built a Sentiment Analysis RNN Model using Pytorch on IMDB's movies dataset and deployed the model as a simple web app using AWS Sagemaker. A user can submit his/her review as text and get instant feedback on the sentiment of the review. Below is an image of the data flow from App to Model and back.

Project Instruction

This project is carried out on AWS Sagemaker. You will need to have an account on AWS to replicate this project.

  1. Clone this repository git clone https://github.com/ObinnaIheanachor/Deploy-a-Sentiment-Analysis-Model-using-AWS-Sagemaker.git
  2. Open the Project notebook and follow the instructions.

License

The contents of this repository are covered under the MIT License