dishtip is a new kind of semantic mashup that performs a deep analysis of millions of web based-reviews, photos and content to determine the best dishes for a given location and where to eat them. It uses a multifaceted classification scheme to analyze multiple data points about user sentiments, dishes, ingredients, cuisines and then offers suggestions.
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