DocumentCode :
3767554
Title :
Multilingual Viewpoint Detection from news comments
Author :
Bei Shi; Lam Wai; Lidong Bing; Yinqing Xu
Author_Institution :
The Chinese University of Hong Kong, China
fYear :
2015
Firstpage :
189
Lastpage :
192
Abstract :
In this paper, we investigate the task of Multilingual Viewpoint Detection (MVD) on multilingual news reader comments. To tackle the MVD task, we propose a new probabilistic graphical model called VDMC to discover latent common viewpoints from multilingual news reader comments. Our VDMC model can cope with the language gap and detect common multilingual viewpoints. To learn the model parameters, we incorporate bilingual constraints into the variational Expectation-Maximization (EM) method. Experimental results show that our VDMC model can resolve the MVD task effectively and outperform the state-of-the-art method.
Keywords :
"Measurement","Urban areas","Blogs"
Publisher :
ieee
Conference_Titel :
Asian Language Processing (IALP), 2015 International Conference on
Print_ISBN :
978-1-4673-9595-3
Type :
conf
DOI :
10.1109/IALP.2015.7451563
Filename :
7451563
Link To Document :
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