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Monday, March 14 • 11:00am - 12:00pm
Understanding the Economy Using Twitter

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Our goal is to present how we use the “huge data” collected by using open APIs of Twitter and other online services to empirically test and improve existing models in social sciences such as economics and sociology. Bringing together natural language processing and macroeconomics, on top of the troves of machine-generated data, we also propose building innovative applications to track consumer sentiment and industry dynamics. Session co-organized by the McCombs School of Business and the Center for Research in Electronic Commerce (CREC).

avatar for Zhan Shi

Zhan Shi

The University of Texas at AustinZhan Shi is an Economics graduate student and researcher at Center for Research in Electronic Commerce in McCombs School of Business, The University of Texas at Austin. He works on bridging the "big data" found on the Internet and economic ideas. His... Read More →

Andrew Whinston

ProfessorGraduate School of Business

Monday March 14, 2011 11:00am - 12:00pm CDT
AT&T Conference Center, Room 204

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