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	Collective opinion target extraction in Chinese microblogs
	Zhou, Xinjie ; Wan, Xiaojun ; Xiao, Jianguo
	2013
英文摘要	Microblog messages pose severe challenges for current sentiment analysis techniques due to some inherent characteristics such as the length limit and informal writing style. In this paper, we study the problem of extracting opinion targets of Chinese microblog messages. Such fine-grained word-level task has not been well investigated in microblogs yet. We propose an unsupervised label propagation algorithm to address the problem. The opinion targets of all messages in a topic are collectively extracted based on the assumption that similar messages may focus on similar opinion targets. Topics in microblogs are identified by hashtags or using clustering algorithms. Experimental results on Chinese microblogs show the effectiveness of our framework and algorithms. ? 2013 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321405]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhou, Xinjie,Wan, Xiaojun,Xiao, Jianguo. Collective opinion target extraction in Chinese microblogs. 2013-01-01.

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