Brandon M. Stewart

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	Wszystkie	Od 2018
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Margaret E. RobertsPolitical Science, University of California San DiegoZweryfikowany adres z ucsd.edu
Dustin TingleyProfessor of Government, Harvard UniversityZweryfikowany adres z g.harvard.edu
Justin GrimmerMorris M. Doyle Centennial Professor. Senior Fellow, Hoover Institution. Stanford UniversityZweryfikowany adres z stanford.edu
Christopher LucasAssistant Professor, Washington University in St. LouisZweryfikowany adres z wustl.edu
Jetson Leder-LuisAssistant Professor, Boston UniversityZweryfikowany adres z bu.edu
Shana Kushner GadarianMerle Golberg Fabian Professor of Excellence in Citizenship and Critical Thinking, Political ScienceZweryfikowany adres z maxwell.syr.edu
Bethany AlbertsonAssociate Professor of Government, University of TexasZweryfikowany adres z austin.utexas.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityZweryfikowany adres z fas.harvard.edu
Richard NielsenAssociate Professor, MITZweryfikowany adres z mit.edu
David G. RandErwin H. Schell Professor, Massachusetts Institute of TechnologyZweryfikowany adres z mit.edu
Justin ReichAssociate Professor, MIT Comparative Media Studies/WritingZweryfikowany adres z mit.edu
Beth A. SimmonsProfessor, Law, Political Science and Business Ethics, University of PennsylvaniaZweryfikowany adres z law.upenn.edu
Stephen M. ShellmanStrategic Analysis Enterprises, Inc,; College of William & MaryZweryfikowany adres z wm.edu
Ian LundbergAssistant Professor, Cornell UniversityZweryfikowany adres z cornell.edu
Naoki EgamiColumbia UniversityZweryfikowany adres z columbia.edu
Yuri ZhukovWalsh School of Foreign Service, Georgetown UniversityZweryfikowany adres z georgetown.edu
Allison J.B. ChaneyDuke UniversityZweryfikowany adres z duke.edu
Alex StorerResearch Analytics Consultant, Stanford University Graduate School of BusinessZweryfikowany adres z stanford.edu
Jason Chuang.Zweryfikowany adres z cs.stanford.edu
Christian FongUniversity of MichiganZweryfikowany adres z umich.edu

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Brandon M. Stewart

Princeton University

Zweryfikowany adres z princeton.edu - Strona główna

Computational Social Science Applied Statistics Machine Learning Text as Data Causal Inference


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts J Grimmer, BM Stewart Political Analysis 21 (3), 267-297, 2013	3582	2013
Structural topic models for open-ended survey responses ME Roberts, BM Stewart, D Tingley, C Lucas, J Leder-Luis, S Gadarian, ... American Journal of Political Science 58 (4), 1064-1082, 2014	1863	2014
stm: R Package for Structural Topic Models ME Roberts, BM Stewart, D Tingley Journal of Statistical Software 91 (2), 1-40, 2019	1496	2019
A model of text for experimentation in the social sciences ME Roberts, BM Stewart, E Airoldi Journal of the American Statistical Association 111 (515), 988-1003, 2016	707	2016
Computer-assisted text analysis for comparative politics C Lucas, RA Nielsen, ME Roberts, BM Stewart, A Storer, D Tingley Political Analysis 23 (2), 254-277, 2015	601	2015
The structural topic model and applied social science ME Roberts, BM Stewart, D Tingley, EM Airoldi Advances in neural information processing systems workshop on topic models …, 2013	461	2013
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility AJB Chaney, BM Stewart, BE Engelhardt Proceedings of the 12th ACM conference on recommender systems, 224-232, 2018	298	2018
Measuring the predictability of life outcomes with a scientific mass collaboration MJ Salganik, I Lundberg, AT Kindel, CE Ahearn, K Al-Ghoneim, ... Proceedings of the National Academy of Sciences 117 (15), 8398-8403, 2020	254	2020
Navigating the local modes of big data: The case of topic models M Roberts, B Stewart, D Tingley Computational Social Science: Discovery and Prediction, 2016	203*	2016
Machine learning for social science: An agnostic approach J Grimmer, ME Roberts, BM Stewart Annual Review of Political Science 24, 395-419, 2021	190	2021
What is your estimand? Defining the target quantity connects statistical evidence to theory I Lundberg, R Johnson, BM Stewart American Sociological Review 86 (3), 532-565, 2021	182	2021
How to make causal inferences using texts N Egami, CJ Fong, J Grimmer, ME Roberts, BM Stewart Science Advances 8 (42), eabg2652, 2022	163*	2022
Text as data: A new framework for machine learning and the social sciences J Grimmer, ME Roberts, BM Stewart Princeton University Press, 2022	153	2022
Adjusting for confounding with text matching ME Roberts, BM Stewart, RA Nielsen American Journal of Political Science 64 (4), 887-903, 2020	127*	2020
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ... Transactions of the Association for Computational Linguistics 10, 1138-1158, 2022	126	2022
Choosing Your Neighbors: Networks of Diffusion in International Relations YM Zhukov, BM Stewart International Studies Quarterly 57 (2), 271-287, 2013	116	2013
The global diffusion of law: Transnational crime and the case of human trafficking BA Simmons, P Lloyd, BM Stewart International Organization 72 (2), 249-281, 2018	111*	2018
A la carte embedding: Cheap but effective induction of semantic feature vectors M Khodak, N Saunshi, Y Liang, T Ma, B Stewart, S Arora Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	101	2018
Use of force and civil–military relations in Russia: an automated content analysis BM Stewart, YM Zhukov Small Wars & Insurgencies 20 (2), 319-343, 2009	98*	2009
Computer-assisted reading and discovery for student generated text in massive open online courses J Reich, DH Tingley, J Leder-Luis, ME Roberts, B Stewart Journal of Learning Analytics 2 (1), 156-184, 2015	93	2015

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