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Sentiment Analysis for Online Reviews Using an Author-Review-Object 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;Sun, Cheng
通讯作者:
Zhang, Yong
作者机构:
[Ji, Dong-Hong; Sun, Cheng; Zhang, Yong] Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China.
[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:
Sentiment Analysis;Topic Model;Author-Review-Object Model
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2011
卷:
7097
页码:
362-371
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;Sun, Cheng] Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China.^[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.
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 probabilistic generative model for online review sentiment analysis, called joint Author-Review-Object Model (ARO). The users, objects and reviews form a heterogeneous graph in online reviews. The ARO model focuses on utilizing the user-review-object graph to improve the traditional sentiment analysis. It detects the sentiment based on not only the review content but also the author and object information. Preliminary experimental results on three datasets show that the proposed model is an effective strategy f...

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