Emotion Annotation
Emotion Annotation is a systematic method within affective computing that involves the labeling of data with emotional attributes to enable the training and evaluation of models designed to recognize, interpret, or generate affective states.
556
Publications
36.7K
Citations
1.5K
Authors
525
Institutions
Publications per year
2017–2026
294
Parents
556
WordNet Affect: an Affective Extension of WordNet
Carlo Strapparava, Alessandro Valitutti · 2004 · 1.4K citations · Full text
SemEval-2018 Task 1: Affect in Tweets
Saif M. Mohammad, Felipe Bravo-Márquez, Mohammad Salameh et al. · 2018 · 745 citations · Full text
Computing, Data Science, Spanish +17
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Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
11 publications · 551 citations
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Imperial College London
London, United Kingdom
13 h-index
18 publications
4.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
23 publications
1.7K citations
The University of Texas at Dallas
Richardson, United States
11 h-index
26 publications
2.2K citations
National Research Council Canada
Ottawa, Canada
11 h-index
18 publications
10.2K citations

Delft University of Technology
Delft, The Netherlands
10 h-index
20 publications
740 citations
University of Augsburg
Augsburg, Germany
10 h-index
25 publications
1.3K citations

Tokushima University
Tokushima, Japan
9 h-index
24 publications
983 citations
University of Science and Technology of China
Hefei, China
9 h-index
29 publications
662 citations
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TAC · 27 publications · 3K citations
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Repository · 28 publications · 1.6K citations
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9 publications · 320 citations
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7 publications · 431 citations
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