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1606.00577
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Source-LDA: Enhancing probabilistic topic models using prior knowledge sources
IEEE International Conference on Data Engineering (ICDE), 2016
2 June 2016
Justin Wood
Patrick Tan
Wei Wang
C. Arnold
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Papers citing
"Source-LDA: Enhancing probabilistic topic models using prior knowledge sources"
5 / 5 papers shown
Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models
Salma Mekaooui
Hiba Sofyan
Imane Amaaz
Imane Benchrif
Arsalane Zarghili
Ilham Chaker
Nikola S. Nikolov
263
0
0
06 Nov 2025
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning
IEEE International Conference on Data Engineering (ICDE), 2024
Xin Gao
Yang Lin
Ruiqing Li
Yasha Wang
Xu Chu
Xinyu Ma
Hailong Yu
422
5
0
23 Dec 2024
Keyword Assisted Topic Models
American Journal of Political Science (AJPS), 2020
Shusei Eshima
Kosuke Imai
Tomoya Sasaki
360
128
0
13 Apr 2020
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014
Alexander Herzog
Peter John
Slava Jankin
230
7
0
03 Jun 2018
The Cultural Evolution of National Constitutions
D. Rockmore
Chen Fang
N. Foti
Tom Ginsburg
D. Krakauer
MedIm
AI4CE
AILaw
126
30
0
18 Nov 2017
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