We wanted to make a restaurant rating system that wasn't dependent on direct user input, like yelp. User input can be scarce in some place and will always be biased. By automating our rating system based on aggregate data we hope to provide a more accurate collective sentiment of a given restaurant. Our app is written in Python with back-end support in flask and front-end styling in Bootstrap. It makes use of many different APIS including Yelp, Twitter, YellowPages, and AlchemyAPI. We are most proud of our algorithms for comparing API results and our own custom rating algorithm based on sentiment.

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