Research

Natural Language Processing

• Scale-Invariant Infinite Hierarchical Topic Model (with Daichi Mochihashi)
• Keyword-Assisted Topic Models (with Kosuke Imai and Tomoya Sasaki)

Survey Experiment

• Just a Number? Voter Evaluations of Age in Candidate Choice Experiments (with Daniel M. Smith)
• The Proposer or the Proposal? An Experimental Analysis of Constitutional Beliefs (with Kenneth M. McElwain and Christian G. Winkler)

Manuscripts

• Winning Elections with Unpopular Policies: Valence Advantage and Single-Party Dominance in Japan (with Shiro Kuriwaki, Yusaku Horiuchi, and Daniel M. Smith)

Software

• keyATM an R package for Keyword-Assisted Topic Models.
• ihLDA: a Python implementation of the Scale-Invariant Infinite Hierarchical Topic Model.
• RcppJagger: an R package for Jagger, a fast, accurate, and space-efficient morphological analyzer.