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Inspiration
We found that the ratings given in reviews on Yelp often don't reflect what the customer is feeling accurately. That's why we decided to build a better system that can fully take into account the individual's complex emotions in their review.
What it does
It is a website that takes in a type of food and the location as input and pulls a single restaurant from the Yelp API. The reviews from this restaurant are processed using a sentimental value system to give a new rating called the "plus plus rating". In addition, keywords from reviews are pulled and displayed alongside this rating to the user.
How I built it
The reviews are pulled from the Yelp API. They are sent to Microsoft Azure text processing API, where the rating and keywords are returned. We organize these; the rating is averaged across all reviews, the keywords are combined, and they are outputted.
Challenges I ran into
Lots of coding issues across the server and making the thing presentable on Angular.
Accomplishments that I'm proud of
It works!
What I learned
What's next for Yelp plus plus
More accurate rating, more restaurants pulled, additional considerations when suggesting a restaurant...
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