Human Coding
Human Coding is an academic evaluation methodology in which human experts, rather than automated systems, perform the primary coding or annotation of data to establish ground truth or assess quality within a research study.
98
Publications
10.4K
Citations
671
Authors
152
Institutions
Publications per year
2017–2026
44
Variants
Manual Coding
Parents
98
Structural Topic Models for Open‐Ended Survey Responses
Margaret E. Roberts, Brandon Stewart, Dustin Tingley et al. · American Journal of Political Science · 2014 · 1.9K citations
Mor Naaman, Jeffrey Boase, Chih‐Hui Lai · 2010 · 725 citations
Peter Peltonen, Esko Kurvinen, Antti Salovaara et al. · 2008 · 455 citations
1–5 of 98
671
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1–5 of 671
152
University of Oxford
Oxford, United Kingdom
4 h-index
18 publications
2K citations
University of Washington
Seattle, United States
4 h-index
5 publications
231 citations
New York University
New York, United States
4 h-index
4 publications
720 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
25 publications
5.3K citations

Harvard University Press
Cambridge, United States
3 h-index
7 publications
6.2K citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
5 publications
186 citations
University of Kentucky
Lexington, United States
2 h-index
7 publications
283 citations

University of Helsinki
Helsinki, Finland
2 h-index
16 publications
4K citations
1–8 of 152
GR · 3 publications · 264 citations
3
h-index
3 publications · 324 citations
3
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AJPS · 3 publications · 2.3K citations
3
h-index
PNAS · 3 publications · 466 citations
3
h-index
CMM · 2 publications · 122 citations
2
h-index
1–5