Temporal Content Analysis is a methodological framework within content analytics that systematically examines the evolution, distribution, and dynamics of content over time to identify temporal patterns, trends, and shifts in meaning or usage.
66
Publications
3.2K
Citations
214
Authors
110
Institutions
Publications per year
2017–2026
15
Parents
Publications
66
Discovering evolutionary theme patterns from text
Qiaozhu Mei, ChengXiang Zhai · 2005 · 524 citations
Alexandros Ntoulas, Junghoo Cho, Christopher Olston · 2004 · 453 citations
Computing, Information Technology, Information Retrieval +13
1–5 of 66
Authors
214
- NK
3
h-index
- AJ
3
h-index
- BS
2
h-index
- TF
2
h-index
- TN
2
h-index
1–5 of 214
Institutions
110
Kyoto University
Kyoto, Japan
5 h-index
6 publications
183 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
323 citations
L3S Research Center
Hanover, Germany
4 h-index
8 publications
175 citations
AT&T (United States)
Bedminster, United States
3 h-index
6 publications
333 citations
Peking University
Beijing, China
3 h-index
6 publications
118 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
2 h-index
5 publications
86 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
1.1K citations
IBM Research - Haifa
Haifa, Israel
2 h-index
7 publications
285 citations
1–8 of 110
Venues
- Journal of the American Society for Information Science and Technology
JASIST · 2 publications · 109 citations
2
h-index
- Information Processing & Management
2 publications · 79 citations
2
h-index
- Proceedings of the International AAAI Conference on Web and Social Media
2 publications · 69 citations
2
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 246 citations
1
h-index
- IEEE Signal Processing Magazine
1 publications · 230 citations
1
h-index
1–5