Linguistic Feature Analysis
Linguistic Feature Analysis is a methodological framework within computational linguistics that identifies and quantifies distinctive patterns in lexical, syntactic, semantic, and pragmatic elements of text to differentiate misinformation from credible information based on characteristic linguistic cues.
491
Publications
35.1K
Citations
1.4K
Authors
575
Institutions
Publications per year
2017–2026
216
Parents
491
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Heng Fan, Liting Lin, Fan Yang et al. · 2019 · 1.6K citations
From key words to key semantic domains
Paul Rayson · International Journal of Corpus Linguistics · 2008 · 741 citations · Full text
1–5 of 491
1.4K
10
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
5 publications · 465 citations
5
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5
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5
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
4 publications · 222 citations
4
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1–5 of 1.4K
575

University of Toronto
Toronto, Canada
10 h-index
24 publications
3.5K citations
University of Washington
Seattle, United States
8 h-index
15 publications
13K citations
Google (United States)
Mountain View, United States
8 h-index
11 publications
5K citations
Columbia University
New York, United States
6 h-index
13 publications
1K citations
University College London
London, United Kingdom
6 h-index
8 publications
699 citations
IBM (United States)
Armonk, United States
6 h-index
12 publications
694 citations

Johns Hopkins University
Baltimore, United States
6 h-index
15 publications
1.2K citations
Technical University of Munich
Munich, Germany
6 h-index
17 publications
2K citations
1–8 of 575
Repository · 13 publications · 1.6K citations
11
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8 publications · 354 citations
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5 publications · 204 citations
5
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4 publications · 221 citations
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4 publications · 516 citations
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