Dishcovery uses machine learning to compile Yelp reviews and construct a sentiment analysis rating of food items in restaurants. Unlike Yelp which only provides an overall 5-star rating system for reviews, Dishcovery ranks individual food dishes in restaurants on a precise decimal scale from negative one to one. Using Yelp as a resource to provide restaurant reviews, Dishcovery searches for food items and ranks the dishes based on the positive and negative comments made in reviews.
Why Dishcovery?
*Dishcovery focuses on food items. Using sentiment analysis, Dishcovery rates individual food dishes.
*Dishcovery is accurate. A blacklist and natural language processing filters out unrelated food words from reviews.
*Find a variety of cuisines. Dishcovery can access over 50 million businesses through its method of web scraping.
Why Dishcovery?
*Dishcovery focuses on food items. Using sentiment analysis, Dishcovery rates individual food dishes.
*Dishcovery is accurate. A blacklist and natural language processing filters out unrelated food words from reviews.
*Find a variety of cuisines. Dishcovery can access over 50 million businesses through its method of web scraping.
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