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个人简介
Brandon Stewart is an assistant professor in the Department of Sociology and is also affiliated with the Department of Politics and the Office of Population Research. He develops new quantitative statistical methods for applications across the social sciences. Methodologically his focus is in tools which facilitate automated text analysis and model complex heterogeneity in regression. Many recent applications of these methods have centered on using large corpora of text to better understand propaganda in contemporary China. His research has been published in journals such as American Journal of Political Science, Political Analysis and the Proceedings of the Association of Computational Linguistics. His work has won the Edward R Chase Dissertation Prize, the Gosnell Prize for Excellence in Political Methodology, and the Political Analysis Editor’s Choice Award.
研究兴趣
论文共 91 篇作者统计合作学者相似作者
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NeurIPS 2023 (2023)
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AMERICAN POLITICAL SCIENCE REVIEWno. 4 (2023): 1255-1274
JOURNAL OF MACHINE LEARNING RESEARCH (2023): 182:1-182:70
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BIG DATA & SOCIETYno. 1 (2023): 205395172211453-205395172211453
EMNLP 2023 (2023): 6529-6539
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Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail,Odd Erik Gundersen,Jake M. Hofman,Jessica Hullman, Michael A. Lones, Momin M. Malik,Priyanka Nanayakkara,Russell A. Poldrack,
CoRR (2023)
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TEXT AS DATA: A New Framework for Machine Learning and the Social Sciencespp.35-40, (2022)
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TEXT AS DATA: A New Framework for Machine Learning and the Social Sciencespp.111-122, (2022)
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TEXT AS DATA: A New Framework for Machine Learning and the Social Sciencespp.233-240, (2022)
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