Computational Text Analysis
Computational Text Analysis is a methodological approach within digital humanities and political communication research that employs algorithmic, quantitative, and automated techniques to process, interpret, and derive meaningful patterns from large-scale textual data, distinguishing it from traditional qualitative content analysis through its reliance on computational scalability and formalized linguistic representation.
976
Publications
70.5K
Citations
2.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
620
Variants
Automated Text Analysis
976
Techniques and applications for sentiment analysis
Ronen Feldman · Communications of the ACM · 2013 · 1.5K citations
Computational linguistics in 1990
Hans Karlgren · 1990 · 1.2K citations · Full text
1–5 of 976
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University of Michigan
Ann Arbor, United States
13 h-index
31 publications
2.9K citations
Stanford University
Stanford, United States
13 h-index
35 publications
5.7K citations
University of Arizona
Tucson, United States
12 h-index
20 publications
2.9K citations

University of Amsterdam
Amsterdam, The Netherlands
12 h-index
30 publications
2.4K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
27 publications
852 citations
University of Maryland, College Park
College Park, United States
9 h-index
17 publications
442 citations
University of Washington
Seattle, United States
8 h-index
23 publications
1.1K citations
London School of Economics and Political Science
London, United Kingdom
8 h-index
10 publications
1.2K citations
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Repository · 27 publications · 957 citations
15
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12 publications · 618 citations
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11 publications · 893 citations
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CMM · 10 publications · 1.2K citations
10
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9 publications · 911 citations
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