Attitude Detection
Attitude Detection is a computational task within natural language processing that identifies and classifies subjective expressions in text according to the writer's evaluative stance, distinguishing itself from related sentiment analysis tasks by focusing specifically on the detection of explicit and implicit attitudinal predicates and their associated targets.
104
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4.3K
Citations
359
Authors
151
Institutions
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2017–2026
65
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104
Muhammad Bilal, Huma Israr, Muhammad Shahid et al. · Journal of King Saud University - Computer and Information Sciences · 2015 · 141 citations · Full text
Computing, Arabic, Computer Science +17
Should We Take Don't Know for an Answer?
Mikael Gilljam, Donald Granberg · Public Opinion Quarterly · 1993 · 141 citations
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Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
319 citations
University of Michigan
Ann Arbor, United States
4 h-index
10 publications
787 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
5 publications
139 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
6 publications
656 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
5 publications
213 citations
Tianjin University
Tianjin, China
2 h-index
7 publications
261 citations

Sapienza University of Rome
Rome, Italy
2 h-index
2 publications
106 citations

Cornell University
Ithaca, United States
2 h-index
2 publications
84 citations
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Repository · 4 publications · 77 citations
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3 publications · 53 citations
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Conference · 2 publications · 123 citations
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2 publications · 31 citations
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1 publications · 268 citations
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