Introduction to Text as Data
- Computational Social Science, Lazer et al
- The Statistical Analysis of Political Text, Monroe and Schrodt
- Text Annotation for Political Science Research, Cardie and Wilkerson
Manual Annotation (Stu Shulman)
- Lessons from the Trenches, Baumgartner, Jones, MacLeod
- The Case Against Mass E-mails, Shulman
Unsupervised Learning (Brandon Stewart)
- How to Analyze Political Attention with Minimal Assumptions and Costs, Quinn et al.
- A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases, Grimmer
Supervised Learning (Stephen Purpura and John Wilkerson)
- Computer-Assisted Topic Classification for Mixed Methods Research, Hillard et al.
- A Method of Automated Nonparametric Content Analysis for Social Science, Hopkins and King
Dimensional Scaling (Will Lowe)
- Extracting Policy Positions from Text Using Words as Data, Laver, Benoit, Garry
- Understanding Wordscores, Lowe
- Position taking in the European Parliament speeches, Proksch and Slapin
- Text-Based Scaling of Legislatures: A Comparison of Methods with Applications to the US Senate and UK House of Commons, Beauchamp
Dictionary Approaches to Studying Behavior and Prediction (Phil Schrodt) TABARI Presentation
- Twenty Years of the Kansas Event Data System Project, Schrodt
- An Event Data Analysis of Third-Party Mediation in the Middle East and Balkans, Schrodt and Gerner
Data Prep (see also links page)
Tools for Text Workshop 