Analyzing Parliamentary Corpora with Word Embeddings

• In Event: Reassessing Paradigms in Political Economy

Brief Overview

I describe debate topics over time and broken down by MPs' characteristics. Using machine learning to generate word embeddings, I construct indices of polarization, and analyze change in use of individual terms, using debates on taxation.

Author

• Alexander Kerchner, Princeton University