Topic Interpretability
Topic Interpretability is a qualitative evaluation measure in topic modeling that assesses the degree to which the human-readable coherence and semantic meaning of inferred topics align with intuitive conceptual understanding.
26
Publications
3.1K
Citations
90
Authors
42
Institutions
Publications per year
2017–2026
14
Parents
26
Exploring the Space of Topic Coherence Measures
Michael Röder, Andreas Both, Alexander Hinneburg · 2015 · 2.2K citations
From Topic Boundaries to Omission: New Research on Interpretation
Melanie Metzger, Steven Collins, Valerie Dively et al. · 2003 · 71 citations
1–5 of 26
90
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42

Huazhong University of Science and Technology
Wuhan, China
2 h-index
6 publications
95 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
4 publications
156 citations

McGill University
Montreal, Canada
1 h-index
4 publications
52 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
1 publications
20 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
3 publications
39 citations

University of Indonesia
Depok, Indonesia
1 h-index
4 publications
52 citations
Singapore Management University
Singapore, Singapore
1 h-index
2 publications
40 citations
Hong Kong Baptist University
Hong Kong, Hong Kong
1 h-index
1 publications
25 citations
1–8 of 42
2 publications · 38 citations
2
h-index
1 publications · 13 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 39 citations
1
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Conference · 1 publications · 47 citations
1
h-index
1–5