Implicit Opinion Detection
Implicit Opinion Detection is a computational task in natural language processing that identifies subjectivity and stance in text where opinions are conveyed indirectly, without explicit sentiment-bearing expressions, thereby distinguishing it from explicit opinion mining by focusing on latent and context-dependent evaluative language.
70
Publications
3.7K
Citations
232
Authors
102
Institutions
Publications per year
2017–2026
35
Parents
70
1–5 of 70
232
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h-index
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h-index
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1–5 of 232
102
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
283 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
6 publications
172 citations
Shanxi University
Taiyuan, China
3 h-index
12 publications
462 citations
National University of Singapore
Singapore, Singapore
3 h-index
7 publications
562 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
8 publications
176 citations

University of Macau
Macao, Macao
2 h-index
3 publications
100 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
45 citations
Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology
Karachi, Pakistan
2 h-index
4 publications
128 citations
1–8 of 102
4 publications · 182 citations
4
h-index
4 publications · 482 citations
4
h-index
Conference · 3 publications · 284 citations
3
h-index
2 publications · 30 citations
2
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2 publications · 53 citations
2
h-index
1–5