Text-based Emotion Detection
Text-Based Emotion Detection is a computational methodology within affective computing that identifies and classifies human emotional states from textual data by analyzing linguistic patterns, lexical choices, and contextual semantics.
943
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60.8K
Citations
2.4K
Authors
870
Institutions
Publications per year
2017–2026
599
943
Sentiment analysis algorithms and applications: A survey
Walaa Medhat, Hoda Korashy · Ain Shams Engineering Journal · 2014 · 3.2K citations · Full text
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Hong Kong Polytechnic University
Hong Kong, Hong Kong
15 h-index
26 publications
2K citations
National Research Council Canada
Ottawa, Canada
15 h-index
24 publications
9.2K citations

Soochow University
Suzhou, China
12 h-index
28 publications
2K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
21 publications
4.7K citations

Sun Yat-sen University
Guangzhou, China
11 h-index
34 publications
2.2K citations
The University of Tokyo
Tokyo, Japan
11 h-index
27 publications
985 citations

Tokushima University
Tokushima, Japan
11 h-index
25 publications
1.1K citations
University of Bari Aldo Moro
Bari, Italy
10 h-index
24 publications
1.1K citations
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Repository · 39 publications · 1.5K citations
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20 publications · 1.2K citations
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16 publications · 636 citations
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TAC · 12 publications · 2.9K citations
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