Trend Summarization
Trend Summarization is a data summarization method that identifies and condenses dominant temporal patterns or directional changes within time-series or longitudinal datasets to provide a concise overview of evolving phenomena.
22
Publications
890
Citations
44
Authors
21
Institutions
Publications per year
2017–2026
2
Parents
22
Summarizing Microblogs Automatically
Beaux Sharifi, Mark-Anthony Hutton, Jugal Kalita · 2010 · 170 citations
Computing, Computer Science, Natural Language Processing +14
Multimedia summarization for trending topics in microblogs
Jingwen Bian, Yang Yang, Tat‐Seng Chua · 2013 · 69 citations
Generating English summaries of time series data using the Gricean maxims
Somayajulu Sripada, Ehud Reiter, Jim Hunter et al. · 2003 · 51 citations
1–5 of 22
44
8
h-index
8
h-index
6
h-index
2
h-index
1
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1–5 of 44
21

Polish Academy of Sciences
Warsaw, Poland
8 h-index
22 publications
636 citations
Systems Research Institute
Warsaw, Poland
7 h-index
19 publications
534 citations
The University of Tokyo
Tokyo, Japan
2 h-index
2 publications
37 citations
Warsaw School of Information Technology
Warsaw, Poland
2 h-index
3 publications
70 citations
University of California, Riverside
Riverside, United States
1 h-index
3 publications
48 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
1 publications
16 citations
Northwest A&F University
Yangling, China
1 h-index
1 publications
31 citations
University of Massachusetts Boston
Boston, United States
1 h-index
1 publications
16 citations
1–8 of 21
Conference · 1 publications · 27 citations
1
h-index
TASLP · 1 publications · 31 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 48 citations
1
h-index
1–5