Jake Williams, PhD

Associate Professor of Information Science

Williams is an expert in natural language processing and text analysis. His research focuses on using algorithms and statistical theory to analyze text. This work has been applied to create tools that can discern fake accounts and bots on social media, identify when and where political protests are happening and even judge a person’s caloric intake by looking at the food and physical activities they’re tweeting about.

 

Williams draws on a background in mathematics, physics, data science to analyze the innate frameworks governing language production. Much of his current work in language processing and linguistics has been applied to social science to help understand things like the sentiment expressed in a text, political movements and how robots are being used for marketing agents on social media.

In The News

This Drexel Learning Group Wants To Make AI More Approachable for University Faculty
Steven Weber, PhD, vice provost for undergraduate curriculum and education; Rebecca Rich, JD, assistant teaching professor and assistant dean for the law library and technology services in the Kline School of Law; Youngmoo Kim, PhD, a professor in the College of Engineering and director of the ExCITe Center; and Jake Williams, PhD, an assistant professor in the College of Computing & Informatics, were quoted in a March 20 Technical.ly Philly story about their efforts as part of a group at Drexel working to provide guidance to the university on the use of artificial intelligence tools, like ChatGPT
Is ChatGPT Really the End of Education?
Jake Williams, PhD, an assistant professor in the College of Computing & Informatics, was a guest on the Dec. 15 episode of KYW-Newsradio's "In Depth" podcast to discuss the impact of the natural language algorithm chatbot ChatGPT.