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Matthias Lalisse

  • Department of Linguistics and Cognitive Science, Johns Hopkins University

By this expert

Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach

Paper Working Paper Series | By Matthias Lalisse | Mar 2022

Using aggregate campaign finance data as well as a Transformer based text embedding model we can predict roll call votes for legislation in the US Congress with more than 90% accuracy.