Using Text as Data Methods to Discover, Measure, and Explain

Colloquium | February 6 | 2-3:30 p.m. | 402 Barrows Hall

 Justin Grimmer, Associate Professor of Political Science, Stanford University

 Department of Sociology

Text as data methods are increasingly used in the social sciences to explore large scale collections of text. This talk draws on my recent papers to show the distinct social science tasks that test as data methods can accomplish and provides a framework for evaluating those methods. Using an example from the study of Congressional communication I show how text as data methods can help us to understand the connection between elected officials and constituents. And an example survey experiment shows how text can be used to understand constituents’ decisions in a democracy.

 od@berkeley.edu