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Sunday, March 13 • 3:30pm - 4:30pm
Using Text to Predict The Real World

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How can we use text to tell us what is happening in the real world?  Text-driven forecasting is the challenge of making concrete, testable predictions about future events and trends from publicly available text data.  Text-based modeling methods make it possible to discover the agendas and attitudes behind the words people use.  In this panel, we consider some recent success stories that use various kinds of text (expert-written analysis, blog posts, tweets) to tell us interesting things about the future and about the people behind the texts in various domains (finance, political discourse, and public opinion polls). Session co-organized by the McCombs School of Business and the Center for Research in Electronic Commerce (CREC).

avatar for Philip Resnik

Philip Resnik

FounderReact LabsPhilip Resnik is a professor at the University of Maryland, with appointments in Linguistics and at the Institute for Advanced Computer Studies, and his entrepreneurial experience includes being technical co-founder of CodeRyte (clinical natural language processing... Read More →
avatar for Noah A Smith

Noah A Smith

Asst ProfessorCarnegie Mellon UniversityNoah Smith is an assistant professor in the School of Computer Science at Carnegie Mellon University. He received his Ph.D. in Computer Science, as a Hertz Foundation Fellow, from Johns Hopkins University in 2006 and his B.S. in Computer Science... Read More →

Sunday March 13, 2011 3:30pm - 4:30pm CDT
AT&T Conference Center, Room 203

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