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Topic Analysis for Online Reviews with an Author-Experience-Object-Topic Model

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成果类型:
期刊论文、会议论文
作者:
Zhang, Yong*;Ji, Dong-Hong;Su, Ying;Hu, Po
通讯作者:
Zhang, Yong
作者机构:
[Ji, Dong-Hong; Hu, Po; Zhang, Yong] Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China.
[Hu, Po; Zhang, Yong] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430072, Peoples R China.
[Su, Ying] Huazhong Univ Sci & Technol, Wuchang Branch, Dept Comp Sci, Wuhan 430072, Peoples R China.
通讯机构:
[Zhang, Yong] W
Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China.
语种:
英文
关键词:
Latent Dirichlet Allocation;Author-Experience-Object-Topic Model;Social Review Network;Tonic Model
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2011
卷:
7097
页码:
303-314
会议名称:
AIRS 2011
会议论文集名称:
Information retrieval technology
会议时间:
2011-01-01
会议地点:
Dubai, United Arab Emirates
会议主办单位:
[Zhang, Yong;Ji, Dong-Hong;Hu, Po] Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China.^[Zhang, Yong;Hu, Po] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430072, Peoples R China.^[Su, Ying] Huazhong Univ Sci & Technol, Wuchang Branch, Dept Comp Sci, Wuhan 430072, Peoples R China.
会议赞助商:
Dubai Knowledge Village, Microsoft Middle E
主编:
Salem, MVM Shaalan, K Oroumchian, F Shakery, A Khelalfa, H
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-25630-1
基金类别:
National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [90820005, 61070082]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
In this paper, we propose a new probabilistic generative model for topic analysis of online reviews, called Author-Experience-Object-Topic Model (AEOT). This model is to capture the relationship between the authors, objects and reviews in order to improve the performance of topic analysis. The model, as a general one, can be transformed to six simpler models, and can produce topic-word, author-topic and object-topic distributions. Experimental results show that the model is suitable for topic analysi...

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