Sentiment-Based Trend Forecasting is a trend forecasting method that identifies and analyzes consumer emotional responses and attitudinal patterns expressed in textual, visual, or behavioral data to anticipate the emergence, trajectory, and potential adoption of fashion trends.
70
Publications
5.5K
Citations
191
Authors
107
Institutions
Publications per year
2017–2026
50
Parents
Publications
70
Predicting the Future with Social Media
Sitaram Asur, Bernardo A. Huberman · 2010 · 2.1K citations
Technical analysis and sentiment embeddings for market trend prediction
Andrea Picasso, Simone Merello, Yukun Ma et al. · Expert Systems with Applications · 2019 · 292 citations
1–5 of 70
Authors
191
- EC
3
h-index
- LO
2
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- LY
2
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- LT
2
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- SC
2
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1–5 of 191
Institutions
107
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
706 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
3 publications
4.1K citations
Marquette University
Milwaukee, United States
2 h-index
8 publications
184 citations
Amity University
Dubai, United Arab Emirates
2 h-index
5 publications
111 citations
Imperial College London
London, United Kingdom
2 h-index
2 publications
146 citations
Shanghai University of Finance and Economics
Shanghai, China
2 h-index
2 publications
84 citations
University of Genoa
Genoa, Italy
2 h-index
6 publications
954 citations
Beijing University of Chemical Technology
Beijing, China
2 h-index
7 publications
296 citations
1–8 of 107
Venues
- arXiv (Cornell University)
Repository · 2 publications · 57 citations
2
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- Open Research Online (The Open University)
Repository · 1 publications · 90 citations
1
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- International Journal of Interactive Multimedia and Artificial Intelligence
1 publications · 17 citations
1
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- International Journal of Rough Sets and Data Analysis
IJRSDA · 1 publications · 11 citations
1
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- Asia Pacific Journal of Operational Research
1 publications · 36 citations
1
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1–5