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Session Submission Type: Created Panel
These papers cover using machine learning for measurement in political science.
Classifying Newspaper Articles with Supervised Machine Learning: A New Approach - Miklós Sebők, Centre for Social Sciences, Hungarian Academy of Sciences; Zoltan Kacsuk, Institute for Political Science, Centre for Social Sciences, Hungarian Academy of Sciences
Active Learning Approaches for Labeling Text - Blake Miller, London School of Economics and Political Science; Fridolin Jakob Linder, Pennsylvania State University; Walter R. Mebane, University of Michigan, Ann Arbor
Modelling Heterogeneity Using Complex Sparsity - Max Goplerud, Harvard University
Active Learning for Probabilisitic Record Linkage - Ted Enamorado, Princeton University