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Featurizing Text: Converting Text into Predictors for Regression Analysis
October 25, 2013 @ 12:00 pm - 1:30 pm
Featurizing Text: Converting Text into Predictors for Regression Analysis
CUNY Data Mining Initiative
Friday, October 25, 2013 from 12:00 PM to 1:30 PM (EDT)
Speaker: Robert Stine, Wharton School at the Universtiy of Pennsylvania
Bio: Robert Stine is Professor of Statistics in the Wharton School of the University of Pennsylvania. His research spans a variety of areas with practical applications, ranging from forecasting and spatial temporal models to fundamentals of multiple testing and methods for text analysis. Recent projects consider methods for selecting factors for predictive models from large databases, with particular relevance to the selection of factors that produce cost-effective decisions. These methods are crucial in the development of predictive models in data mining. His research has appeared in numerous academic journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and the Annals of Statistics. His teaching has been recognized by awards in both the Wharton MBA and Undergraduate programs, and he is the co-author of a recent textbook Business Statistics: Decision Making and Analysis.
CUNY Data Mining Initiative
The CUNY Data Mining Initiative is sponsored by a grant from the National Science Foundation. The Principal Investigator is Distinguished Professor Paul Attewell (Sociology). For more information, you can visit our website at datamining.ws.gc.cuny.edu. We can also be contacted via email at [email protected] or by phone at (212) 817-1842. If you would like to subscribe to our listserv, please email us with your name and institutional affiliation (if any).
