Semantic Orientation Detection
Semantic Orientation Detection is a computational method in sentiment analysis that identifies the polarity of textual content by determining the degree to which lexical items or expressions convey positive or negative connotations relative to a given context.
54
Publications
6K
Citations
137
Authors
61
Institutions
Publications per year
2017–2026
6
Variants
Sentiment Orientation Detection
Parents
54
Using WordNet to Measure Semantic Orientations of Adjectives
Jaap Kamps, M. Marx, Robert J. Mokken et al. · 2004 · 647 citations · Full text
Language Studies, Computer Science, Computational Linguistics +10
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Rutgers, The State University of New Jersey, United States
3 publications · 2.1K citations
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National Research Council Canada
Ottawa, Canada
3 h-index
3 publications
2.1K citations
University of Michigan
Ann Arbor, United States
2 h-index
7 publications
286 citations

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

Universidad de Jaén
Jaén, Spain
2 h-index
7 publications
423 citations

Cairo University
Giza, Egypt
2 h-index
4 publications
198 citations
Institute of Computing Technology
Beijing, China
1 h-index
1 publications
10 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
1 h-index
3 publications
60 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
156 citations
1–8 of 61
Repository · 3 publications · 576 citations
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2 publications · 57 citations
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2 publications · 111 citations
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1 publications · 38 citations
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JASIST · 1 publications · 78 citations
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