Using a database of 130,000 Yelp reviews, Smith PhD student Jorge Mejia and two Smith professors have found a way to predict which Washington, D.C., restaurants will close. The technique, which grew out of Mejia’s dissertation, involves new software that can “read” and analyze the contents of online reviews.