Yelp has announced the winners of its inaugural Yelp Dataset Challenge, and the four entries it chose actually seem pretty useful. They run the gamut from a technique to highlight key words so users can read reviews faster to helping businesses predict whether they’ll see an uptick in activity on Yelp. Having read countless reviews giving restaurants low ratings even though the food was good, I think the entry that extracts subtopics (e.g., food, service, ambience) from restaurant reviews might be my favorite.

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