Teaching
Text as Data
Text as Data covers statistical approaches to analyzing documents and other language data in social science research. The course emphasizes how text can enter the research process through discovery, measurement, prediction, and causal inference, with attention to validation and substantive interpretation.
Latest Offering
The latest Princeton offering is the Fall 2021 CAP version. It covers the Text as Data framework as a half-semester graduate course, with weekly readings, proposal work, peer reviews, and attention to discovery, measurement, prediction, and causal inference with text.