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Fine-Grained Opinion Mining by Integrating Multiple Review Sources

文献类型：期刊论文

作者Miao, Qingliang1; Li, Qiudan1; Zeng, Daniel2
刊名JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
出版日期2010-11-01
卷号61期号:11页码:2288-2299
关键词opinion mining
通讯作者Qingliang miao
英文摘要With the rapid development of Web 2.0, online reviews have become extremely valuable sources for mining customers' opinions. Fine-grained opinion mining has attracted more and more attention of both applied and theoretical research. In this article, the authors study how to automatically mine product features and opinions from multiple review sources. Specifically, they propose an integration strategy to solve the issue. Within the integration strategy, the authors mine domain knowledge from semistructured reviews and then exploit the domain knowledge to assist product feature extraction and sentiment orientation identification from unstructured reviews. Finally, feature-opinion tuples are generated. Experimental results on real-world datasets show that the proposed approach is effective.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Information Science & Library Science
研究领域[WOS]Computer Science ; Information Science & Library Science
关键词[WOS]INFORMATION ; FEATURES
收录类别SCI ; SSCI
语种英语
WOS记录号WOS:000283565500010
源URL[http://ir.ia.ac.cn/handle/173211/3560]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Univ Arizona, MIS Dept, Tucson, AZ USA
推荐引用方式
GB/T 7714		 Miao, Qingliang,Li, Qiudan,Zeng, Daniel. Fine-Grained Opinion Mining by Integrating Multiple Review Sources[J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY,2010,61(11):2288-2299.
APA Miao, Qingliang,Li, Qiudan,&Zeng, Daniel.(2010).Fine-Grained Opinion Mining by Integrating Multiple Review Sources.JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY,61(11),2288-2299.
MLA Miao, Qingliang,et al."Fine-Grained Opinion Mining by Integrating Multiple Review Sources".JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY 61.11(2010):2288-2299.

入库方式： OAI收割

来源：自动化研究所

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