Topic Similarity
Topic Similarity is a text-level semantic measure in computational linguistics that quantifies the degree of overlap in subject matter between two documents based on the alignment of their underlying thematic structures.
94
Publications
3.3K
Citations
280
Authors
132
Institutions
Publications per year
2017–2026
38
Parents
94
Evaluating Topic Coherence Using Distributional Semantics
Νικόλαος Αλέτρας, Mark Stevenson · 2013 · 250 citations
Social-network analysis using topic models
Youngchul Cha, Junghoo Cho · 2012 · 106 citations
Computing, Computer Science, Natural Language Processing +11
1–5 of 94
280
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 280
132

National University of Defense Technology
Changsha, China
3 h-index
5 publications
134 citations
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
226 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
3 publications
314 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
29 citations

Data61
Sydney, Australia
2 h-index
28 publications
598 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
7 publications
158 citations

Australian National University
Canberra, Australia
2 h-index
3 publications
333 citations

University of Electro-Communications
Tokyo, Japan
2 h-index
2 publications
144 citations
1–8 of 132
4 publications · 161 citations
4
h-index
2 publications · 27 citations
2
h-index
2 publications · 43 citations
2
h-index
2 publications · 144 citations
2
h-index
JIT · 1 publications · 10 citations
1
h-index
1–5