Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval

doi:10.1007/s11704-016-6163-5

	Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval
	Wei, Jingjing 1,2,3; Liao, Xiangwen 1,3; Zheng, Houdong 1,3; Chen, Guolong 1,3; Cheng, Xueqi 4
	2018-08-01
发表期刊	FRONTIERS OF COMPUTER SCIENCE
ISSN	2095-2228
卷号	12 期号:4 页码:714-724
摘要	This study addresses the problem of Chinese microblog opinion retrieval, which aims to retrieve opinionated Chinese microblog posts relevant to a target specified by a user query. Existing studies have shown that lexicon-based approaches employed online public sentiment resources to rank sentimentwords relying on the document features. However, this approach could not be effectively applied to microblogs that have typical user-generated content with valuable contextual information: "user-user" interpersonal interactions and "user-post/comment" intrapersonal interactions. This contextual information is very helpful in estimating the strength of sentiment words more accurately. In this study, we integrate the social contextual relationships among users, posts/comments, and sentiment words into a mutual reinforcement model and propose a unified three-layer heterogeneous graph, on which a random walk sentiment word weighting algorithm is presented to measure the strength of opinion of the sentiment words. Furthermore, the weights of sentiment words are incorporated into a lexicon-based model for Chinese microblog opinion retrieval. Comparative experiments are conducted on a Chinese microblog corpus, and the results show that our proposed mutual reinforcement model achieves significant improvement over previous methods.
关键词	opinion retrieval sentiment words lexicon weighting mutual reinforcement model
DOI	10.1007/s11704-016-6163-5
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61300105] ; Research Fund for Doctoral Program of Higher Education of China[2012351410010] ; Key Laboratory of Network Data Science & Technology, Chinese Science and Technology Foundation[CASNDST20140X] ; Key Project of Science and Technology of Fujian[2013H6012] ; Project of Science and Technology of Fuzhou[2012-G-113] ; Project of Science and Technology of Fuzhou[2013-PT-45] ; Scientific Research Project of the Educational Department in Fujian Province[JA10055]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000436113200007
出版者	HIGHER EDUCATION PRESS
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5118
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liao, Xiangwen
作者单位	1.Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China 2.Fujian Jiangxia Univ, Coll Elect & Informat Sci, Fuzhou 350108, Fujian, Peoples R China 3.Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligence P, Fuzhou 350108, Fujian, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wei, Jingjing,Liao, Xiangwen,Zheng, Houdong,et al. Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval[J]. FRONTIERS OF COMPUTER SCIENCE,2018,12(4):714-724.
APA	Wei, Jingjing,Liao, Xiangwen,Zheng, Houdong,Chen, Guolong,&Cheng, Xueqi.(2018).Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval.FRONTIERS OF COMPUTER SCIENCE,12(4),714-724.
MLA	Wei, Jingjing,et al."Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval".FRONTIERS OF COMPUTER SCIENCE 12.4(2018):714-724.