Hashtag Emotion Analysis
Hashtag Emotion Analysis is a computational method within social media analytics that identifies and quantifies emotional sentiments expressed through hashtags by combining natural language processing with emotion detection techniques to reveal affective patterns in user-generated content.
32
Publications
1.7K
Citations
104
Authors
63
Institutions
Publications per year
2017–2026
27
Parents
32
Richard J Medford, Sameh N. Saleh, Andrew Sumarsono et al. · Open Forum Infectious Diseases · 2020 · 202 citations · Full text
Business, Infectious Disease Control, Infectious Diseases +15
1–5 of 32
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National Research University Higher School of Economics, Russia
2 publications · 28 citations
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National Research University Higher School of Economics, Russia
2 publications · 28 citations
2
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1–5 of 104
63
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
458 citations
Auckland University of Technology
Auckland, New Zealand
2 h-index
3 publications
42 citations
Institute of Psychology, Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
816 citations
IZA - Institute of Labor Economics
Bonn, Germany
2 h-index
2 publications
28 citations

Manisa Celal Bayar University
Manisa, Türkiye
2 h-index
2 publications
31 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
208 citations
Muğla University
Muğla, Türkiye
2 h-index
2 publications
31 citations

University of Johannesburg
Johannesburg, South Africa
2 h-index
4 publications
56 citations
1–8 of 63
1 publications · 17 citations
2
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2 publications · 211 citations
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Repository · 2 publications · 33 citations
2
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1 publications · 384 citations
1
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Repository · 1 publications · 12 citations
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