Jonah Berger and Olivier Toubia used natural language processing to understand what drives academic success. The authors analyzed over 20,000 college application essays from a large public university that attracts students from a range of racial, cultural, and economic backgrounds and found that the semantic volume of the writing, or how much ground an application essay covered predicted college performance, as measured by grade point average.