Grand prize winners of Yelp Dataset Challenge

Publish Date: 10/22/2013

CS and DAC Graduate Student Ji Wang (advisor: Chris North), along with CS/DAC PhD graduate Sheng Guo (advisor: Naren Ramakrishnan), and University of Toronto graduate student Jian Zhao were one of four grand prize winning teams in round one of the Yelp Dataset Challenge. Other winners are from CMU, Stanford, and Berkeley.

The objective of the contest was to help guess a review's rating from its text alone, by developing better ways of mining and summarizing text. Wang and colleagues developed a novel clustered layout word cloud visualization for summarizing product reviews that improves upon traditional word cloud visualizations. Their winning entry uses dependency parsing to infer relations from text that are then used to better organize layouts. Learn more about the challenge and the winning entries from: http://www.yelp.com/dataset_challenge/.