Beyond Topics: Learning for Texts as a Measurement

• In Event: Machine Learning Methods for Causal Inference

Brief Overview

This paper examines the issues involved in using texts for measurement in political science including over-fitting for theory and prediction errors as measurement errors. The author proposes a new paradigm with an illustration with real data.

Author

• Shiyao Liu, New York University Abu Dhabi