Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 自然语言处理团队

	Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model
	Liu, Kang; Xu, Liheng; Zhao, Jun; Liu Kang; Xu Liheng; Zhao Jun
刊名	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2015-03-01
卷号	27 期号:3 页码:636-650
关键词	Opinion mining opinion targets extraction opinion words extraction
英文摘要	Mining opinion targets and opinion words from online reviews are important tasks for fine-grained opinion mining, the key component of which involves detecting opinion relations among words. To this end, this paper proposes a novel approach based on the partially-supervised alignment model, which regards identifying opinion relations as an alignment process. Then, a graph-based co-ranking algorithm is exploited to estimate the confidence of each candidate. Finally, candidates with higher confidence are extracted as opinion targets or opinion words. Compared to previous methods based on the nearest-neighbor rules, our model captures opinion relations more precisely, especially for long-span relations. Compared to syntax-based methods, our word alignment model effectively alleviates the negative effects of parsing errors when dealing with informal online texts. In particular, compared to the traditional unsupervised alignment model, the proposed model obtains better precision because of the usage of partial supervision. In addition, when estimating candidate confidence, we penalize higher-degree vertices in our graph-based co-ranking algorithm to decrease the probability of error generation. Our experimental results on three corpora with different sizes and languages show that our approach effectively outperforms state-of-the-art methods.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
收录类别	SCI
语种	英语
WOS记录号	WOS:000349621800004
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/8045]
专题	自动化研究所_模式识别国家重点实验室_自然语言处理团队
通讯作者	Liu Kang
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Liu, Kang,Xu, Liheng,Zhao, Jun,et al. Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2015,27(3):636-650.
APA	Liu, Kang,Xu, Liheng,Zhao, Jun,Liu Kang,Xu Liheng,&Zhao Jun.(2015).Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,27(3),636-650.
MLA	Liu, Kang,et al."Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 27.3(2015):636-650.