Hashtag Clustering is a computational method that partitions semantically or contextually related hashtags into discrete groups based on shared linguistic, topical, or usage patterns derived from social media data.
17
Publications
797
Citations
51
Authors
23
Institutions
Publications per year
2017–2026
8
Parents
Publications
17
1–5 of 17
Authors
51
- GP
1
h-index
- WF
1
h-index
- MT
1
h-index
- FM
1
h-index
- JW
1
h-index
1–5 of 51
Institutions
23
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
316 citations
Xidian University
Xi'an, China
1 h-index
1 publications
158 citations
Middle East Technical University
Ankara, Türkiye
1 h-index
1 publications
62 citations
Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
24 citations
Ghent University
Ghent, Belgium
1 h-index
3 publications
57 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
158 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
54 citations
Azerbaijan Technical University
Baku, Azerbaijan
1 h-index
1 publications
16 citations
1–8 of 23
Venues
- Proceedings of the International AAAI Conference on Web and Social Media
2 publications · 94 citations
2
h-index
- Ghent University Academic Bibliography (Ghent University)
Repository · 1 publications · 19 citations
1
h-index
- Online Social Networks and Media
OSNEM · 1 publications · 14 citations
1
h-index
- OpenMETU (Middle East Technical University)
Repository · 1 publications · 62 citations
1
h-index
- Intelligent Data Analysis
IDA · 1 publications · 32 citations
1
h-index
1–5