Document Theme Detection is a computational method within the field of text analysis that identifies overarching thematic elements in a document by integrating linguistic, structural, and contextual features to distinguish global topics from localized content.
16
Publications
888
Citations
38
Authors
18
Institutions
Publications per year
2017–2026
3
Parents
Publications
16
Automatic Analysis, Theme Generation, and Summarization of Machine-Readable Texts
Gerard Salton, James Allan, Chris Buckley et al. · Science · 1994 · 270 citations
A mixture model for contextual text mining
Qiaozhu Mei, ChengXiang Zhai · 2006 · 122 citations
Extracting redundancy-aware top-k patterns
Dong Xin, Hong Cheng, Xifeng Yan et al. · 2006 · 117 citations
1–5 of 16
Authors
38
- AD
2
h-index
- SB
2
h-index
- JH
2
h-index
- AS
1
h-index
- CZ
1
h-index
1–5 of 38
Institutions
18
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
6 publications
712 citations
Jadavpur University
Kolkata, India
2 h-index
4 publications
114 citations
Westlake University
Hangzhou, China
1 h-index
1 publications
14 citations
South Asian University
New Delhi, India
1 h-index
2 publications
60 citations
Icahn School of Medicine at Mount Sinai
New York, United States
1 h-index
1 publications
17 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
14 citations
University of Toronto
Toronto, Canada
1 h-index
3 publications
39 citations
Cornell University
Ithaca, United States
1 h-index
4 publications
1.1K citations
1–8 of 18
Venues
- JAMIA Open
1 publications · 17 citations
1
h-index
- Expert Systems with Applications
1 publications · 32 citations
1
h-index
- Science
1 publications · 270 citations
1
h-index
- Quality & Quantity
1 publications · 109 citations
1
h-index
- Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Conference · 1 publications · 14 citations
1
h-index
1–5