In this project, I have constructed a recurrent neural network to determine the sentiment of a movie review using the IMDB data set. I have created this model using Amazon's SageMaker service. Also, I have deployed my model and constructed a simple web app which will interact with the deployed model. The prediction model is implemented in PyTorch and deployed to AWS SageMaker.
To serve it on a web page, I call the SageMaker model from a AWS Lambda service, which can be accessed via API Gateway.
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).
It's a deployed web page which defines sentiment of a movie review.
Below are results for some reviews for "Au service de la France":
- Rishabh Srivastava