Using Machine Learning to Measure Public Position-Taking in Legislative Speeches

• In Event: Analyzing Legislative Communication

Brief Overview

This paper presents a new methodology for scaling legislators that uses cutting-edge machine learning techniques to measure public position-taking by legislators on a government-opposition dimension based on the text of their speeches.

Author

• Joshua Camden Fjelstul, Washington University in St. Louis