Yelp Dataset Challenge Winners Round 7
Yelp, an American multinational corporation which develops, hosts and markets Yelp.com has announced the Yelp Dataset Challenge Round 7 Winners.
Kenton Murray, a current graduate student, is among the authors who will be sharing the $5000 award for their entry: “Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams” by Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, and Daniel B. Neill (from Carnegie Mellon University, University of Notre Dame). The authors created a model to detect and characterize emerging topics in text streams. Their new model is called Semantic Scan and was selected as the winner based on its technical and academic merit.
Kenton works under the direction of his adviser, Dr. David Chiang, in the area of Natural Language Processing.
To learn more about Yelp and the upcoming Dataset Challenge Round 9 visit their webpage.