Personalized restaurant recommendation using sentiment analysis of Yelp reviews.
Project for the course COMS 6998: Cloud Computing and Big Data
- Python Flask
- MongoDB
- Amazon EBS & EC2
- Stanford NLTK
This project contains two parts: the Client side and the manager side application.
The Client application is built on Flask and recommends restaurants based on his preferences and previous ordering history. We make use of Yelp reviews to recommend restaurants based on their reviews for particular dishes.
The manager application is intended for restaurants and shows analytics on how the people are reacting to their various dishes and how their restaurant is performing.