Board #14 - Inferring Agenda: An Unsupervised Approach to SCOTUS Issue Classification

• In Event: 72-300 - Poster Session: Selected Topics in Politics Science Research

Brief Overview

The focus is on analyzing judicial behavior at the writ stage of the U.S. Supreme Court by developing a machine learning pipeline to classify legal texts into issue areas based on the SPAETH Supreme Court database.

Author

• Arnav Shashidhar Rajashekara, The Ohio State University, Main Campus