The Data, Society, and Inference Seminar Series
is pleased to announce a talk by:
Matthew Taddy, Associate Professor of Econometrics and Statistics
The University of Chicago, Booth School of Business
Title: Counting Words in Social Science
Abstract: Social scientists are embracing the idea of using `text as data’ as a way to quantify, measure, and discover social concepts. Professor Taddy will discuss a brief history of how this strategy has worked and evolved, and present the high dimensional multinomial logistic regression models that he uses as a basis for text analysis. Illustrated with a series of applications — tweets about politicians, reviews on yelp.com, congressional speech — Professor Taddy will give the how and why of this approach. The “how" touches on distributed computing and regularized estimation techniques. The “why" considers questions of prediction, treatment effects estimation, and finally inference about the content of text itself. Despite all being based on the same models, these goals each involve a different set of assumptions and challenges.
Monday, Feb 10, 2014
1:10 – 2:30 pm
Location:
Stanford University
McClelland Building, Room M104 (map attached)
Graduate School of Business
Click here to coordinate carpooling to and from Stanford
Lunch is provided. Please RSVP to afrooz@stanford.edu by Frid
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