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Session Submission Type: Created Panel
These papers all explore using text analysis to investigate lawmaking.
The Automated Detection of Emotion in Transcripts of Parliamentary Speech - Christopher Cochrane, University of Toronto; Ludovic Rheault; Tanya Whyte
Deep Voting: Predicting Votes from Bill Texts using Neural Networks - Nicholas Beauchamp, Northeastern University; Alexander Herzog, Clemson University
Assessing the Prevalence of Omnibus Lawmaking in the US Congress - Matthew Denny, Facebook
Unorthodox Lawmaking & Legislator Productivity: LawProM Bill Text Reuse Measure - Mandi Eatough, University of Michigan, Ann Arbor; Jessica Robinson Preece, Brigham Young University; Michael Barber, Brigham Young University