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
- Constitutional Design Preferences: An Experimental Approach (with Kenneth Mori McElwain, Ai Takahashi, and Christian G. Winkler)
- 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 Mori McElwain and Christian G. Winkler)
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.