Hashtag Topic Modeling is a computational method within the field of social media analytics that identifies and organizes latent thematic structures from collections of hashtags by applying topic modeling techniques to capture the underlying semantic topics represented in hashtag usage patterns.
69
Publications
3.7K
Citations
217
Authors
102
Institutions
Publications per year
2017–2026
37
Parents
Publications
69
Using topic models for Twitter hashtag recommendation
Fréderic Godin, Viktor Slavkovikj, Wesley De Neve et al. · 2013 · 205 citations
Computing, Computer Science, Natural Language Processing +13
Hashtag retrieval in a microblogging environment
Miles Efron · 2010 · 179 citations
1–5 of 69
Authors
217
- JR
4
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- XH
4
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- YH
3
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- QZ
3
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- JL
3
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1–5 of 217
Institutions
102
Fudan University
Shanghai, China
5 h-index
20 publications
813 citations
Universidad Rey Juan Carlos
Madrid, Spain
4 h-index
7 publications
365 citations
University of Michigan
Ann Arbor, United States
4 h-index
7 publications
290 citations
Nankai University
Tianjin, China
3 h-index
12 publications
776 citations
Cyprus University of Technology
Limassol, Cyprus
2 h-index
4 publications
112 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
7 publications
326 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
4 publications
405 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
7 publications
960 citations
1–8 of 102
Venues
- Information
4 publications · 131 citations
4
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- Information Sciences
2 publications · 41 citations
2
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 2 publications · 107 citations
2
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- Proceedings of the International AAAI Conference on Web and Social Media
2 publications · 79 citations
2
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- Neurocomputing
2 publications · 82 citations
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