Computational Discourse Analysis
Computational Discourse Analysis is a systematic methodological framework within computational communication research that employs algorithmic and data-driven techniques to identify, classify, and interpret patterns of linguistic and symbolic meaning-making in large-scale textual interactions, distinguishing itself through its integration of natural language processing and social theory to uncover structured discursive practices.
113
Publications
11.4K
Citations
361
Authors
147
Institutions
Publications per year
2017–2026
33
113
Bharat Ram Ambati, Tejaswini Deoskar, Mark Johnson et al. · The Association for Computational Linguistics · 2015 · 865 citations
The Oxford handbook of computational linguistics
Choice Reviews Online · 2003 · 720 citations
1–5 of 113
361
4
h-index
University at Albany, State University of New York, United States
3 publications · 82 citations
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 361
147

University of Edinburgh
Edinburgh, United Kingdom
6 h-index
6 publications
258 citations

University of Toronto
Toronto, Canada
4 h-index
10 publications
380 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
5 publications
193 citations
University at Albany, State University of New York
Albany, United States
3 h-index
17 publications
516 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
63 citations
Heidelberg University
Heidelberg, Germany
2 h-index
2 publications
24 citations

Pennsylvania State University
State College, United States
2 h-index
5 publications
215 citations
Dartmouth College
Hanover, United States
2 h-index
2 publications
169 citations
1–8 of 147
6 publications · 3.9K citations
6
h-index
Repository · 2 publications · 171 citations
2
h-index
TCQ · 2 publications · 71 citations
2
h-index
Conference · 2 publications · 271 citations
2
h-index
2 publications · 119 citations
2
h-index
1–5