Biterm Topic Modeling
Biterm Topic Modeling is a topic modeling framework that belongs to the class of generative probabilistic models for uncovering latent topics in short texts, distinguished by its use of biterms—unordered word pairs co-occurring within a short text window—as the fundamental modeling units instead of individual documents or words.
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3K
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2017–2026
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A biterm topic model for short texts
Xiaohui Yan, Jiafeng Guo, Yanyan Lan et al. · 2013 · 1.1K citations
BTM: Topic Modeling over Short Texts
Xueqi Cheng, Xiaohui Yan, Yanyan Lan et al. · IEEE Transactions on Knowledge and Data Engineering · 2014 · 555 citations
Tim K. Mackey, Vidya Purushothaman, Jiawei Li et al. · JMIR Public Health and Surveillance · 2020 · 155 citations · Full text
Biterm language models for document retrieval
Munirathnam Srikanth, Rohini K. Srihari · 2002 · 101 citations
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University of California San Diego
San Diego, United States
6 h-index
25 publications
1.7K citations
Global Policy Institute
Washington D.C., United States
6 h-index
21 publications
1.3K citations
Institute of Computing Technology
Beijing, China
4 h-index
15 publications
7.1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
16 publications
7.1K citations
Tsinghua University
Beijing, China
3 h-index
11 publications
174 citations
Q.D. Research
Granite Bay, United States
2 h-index
7 publications
819 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
8 publications
156 citations

Beijing Normal University
Beijing, China
2 h-index
7 publications
308 citations
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2 publications · 55 citations
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Conference · 2 publications · 89 citations
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1 publications · 44 citations
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1 publications · 76 citations
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1 publications · 155 citations
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