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Text as Data: Topic Models and Conversations
Sat, August 31, 10:00 to 11:30am, Omni, Senate RoomSession Submission Type: Created Panel
Session Description
These papers cover methods in text analysis ranging from using topic models to analyzing the details of conversations and comments.
Sub Unit
Chair
Discussant
Individual Presentations
Semi-Supervised Topic Models for Political Rhetoric and Survey Open-ends - Patrick van Kessel, Pew Research Center; Adam G. Hughes, Pew Research Center
The Structure and Dynamics of Diffusive Conversation - Dean Knox, Princeton University
Transparent and Easy Validation of Topics Using Online Workforces - Jacob M. Montgomery, Washington University in St. Louis; Luwei Ying, Washington University in St. Louis; Brandon Michael Stewart, Princeton University
What Does The Public Say? A Computational Analysis of Regulatory Comments - Vlad Eidelman, FiscalNote; Michael A. Livermore, University of Virginia