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

文献类型：期刊论文

作者Wei, Jingjing1,3,4; Liao, Xiangwen3,4; Zheng, Houdong3,4; Chen, Guolong3,4; Cheng, Xueqi2
刊名FRONTIERS OF COMPUTER SCIENCE
出版日期2018-08-01
卷号12期号:4页码:714-724
ISSN号2095-2228
关键词opinion retrieval sentiment words lexicon weighting mutual reinforcement model
DOI10.1007/s11704-016-6163-5
英文摘要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.
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
语种英语
出版者HIGHER EDUCATION PRESS
WOS记录号WOS:000436113200007
源URL[http://119.78.100.204/handle/2XEOYT63/5117]  
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.Fujian Jiangxia Univ, Coll Elect & Informat Sci, Fuzhou 350108, Fujian, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
3.Fuzhou Univ, Fujian Prov Key Lab Network Comp & Intelligence P, Fuzhou 350108, Fujian, Peoples R China
4.Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, 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.

入库方式： OAI收割

来源：计算技术研究所

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