Semantic Anomaly Detection
Semantic Anomaly Detection is a computational method that identifies deviations from expected meaning in linguistic or symbolic data by analyzing contextual coherence within a semantic representation space.
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2.3K
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154
Authors
56
Institutions
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2017–2026
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Semantic anomaly detection in online data sources
Orna Raz, Philip Koopman, Mary Shaw · 2002 · 97 citations
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Tsinghua University
Beijing, China
3 h-index
15 publications
506 citations

University of Rochester
Rochester, United States
2 h-index
4 publications
88 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
4 publications
530 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
405 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
10 publications
705 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
2 publications
94 citations
University of Mannheim
Mannheim, Germany
1 h-index
2 publications
68 citations
University of Newcastle Australia
Newcastle, Australia
1 h-index
2 publications
498 citations
1–8 of 56
Repository · 3 publications · 55 citations
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PNAS · 1 publications · 93 citations
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1 publications · 34 citations
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Repository · 1 publications · 10 citations
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1 publications · 15 citations
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