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).
http://schedule.sxsw.com/events/event_IAP8396
