Textual Data Modeling
Textual Data Modeling is a formal methodological framework within digital textual scholarship that specifies the structural, semantic, and syntactic representations of textual entities and their relationships, distinguishing it from general data modeling by its exclusive focus on the interpretive, philological, and computational treatment of textual variants, annotations, and critical editions.
182
Publications
11.8K
Citations
611
Authors
351
Institutions
Publications per year
2017–2026
105
Parents
182
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
Computer-Assisted Text Analysis for Comparative Politics
Christopher Lucas, Richard A. Nielsen, Margaret E. Roberts et al. · Political Analysis · 2015 · 485 citations · Full text
1–5 of 182
611
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 611
351

National University of Defense Technology
Changsha, China
4 h-index
13 publications
283 citations
Yale University
New Haven, United States
3 h-index
10 publications
2.2K citations
Harvard University
Cambridge, United States
3 h-index
9 publications
2.1K citations
Université Paris Cité
Paris, France
3 h-index
8 publications
147 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
12 publications
345 citations
North Carolina State University
Raleigh, United States
2 h-index
3 publications
53 citations
University of Florida
Gainesville, United States
2 h-index
6 publications
90 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
7 publications
226 citations
1–8 of 351
Repository · 7 publications · 166 citations
7
h-index
4 publications · 226 citations
4
h-index
Repository · 3 publications · 76 citations
3
h-index
3 publications · 104 citations
3
h-index
2 publications · 52 citations
2
h-index
1–5