Fine-Grained Opinion Mining by Integrating Multiple Review Sources

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Fine-Grained Opinion Mining by Integrating Multiple Review Sources
	Miao, Qingliang 1; Li, Qiudan1 ; Zeng, Daniel2 ; Qingliang miao
发表期刊	JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
	2010-11-01
卷号	61 期号:11 页码:2288-2299
文章类型	Article
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.
关键词	Opinion Mining
WOS标题词	Science & Technology ; Technology
关键词[WOS]	INFORMATION ; FEATURES
收录类别	SCI ; SSCi
语种	英语
WOS研究方向	Computer Science ; Information Science & Library Science
WOS类目	Computer Science, Information Systems ; Information Science & Library Science
WOS记录号	WOS:000283565500010
引用统计	被引频次：44[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3560
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Qingliang miao
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Arizona, MIS Dept, Tucson, AZ USA
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Miao, Qingliang,Li, Qiudan,Zeng, Daniel,et al. 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,&Qingliang miao.(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.

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