ReviewRater

Review Rater

A simple web app prototype that uses sentiment analysis to rate text reviews on a scale of 1 to 5.

Setup on your machine

• This repository uses Git Large File Storage(git-lfs) to host large binary files(.pickle, .h5, etc). If you don't have git lfs installed on your system, go ahead install it from here: https://git-lfs.github.com/

• Next, inside the empty folder in which you want to clone, run the command git lfs install

• That's it, now clone this repo with the usual command: git clone https://github.com/yashprakash13/ReviewRater.git

• To run the web app, after the lfs objects have been prooperly downloaded into your local folder, type python main.py.

• Go to http://127.0.0.1:5000/ and test the app with the following credentials:

  • email: [email protected]
  • password: 1234567
  • Payment details : enter anything in the boxes and use the demo card no 4242 4242 4242 4242
  • type a review and click Predict!

Tools used

This project uses:

• Flask for the web app
• Firebase for authentication of users (registration and login)
• Stripe for payment demo and
• Sentiment analysis machine learning models for rating the review (Folders Model, Model2 and Model3)

The project in action