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

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 自然语言处理

	Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model
	Liu Kang; Xu Liheng; Zhao Jun
发表期刊	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
	2015-03-01
卷号	27 期号:3 页码:636-650
文章类型	Article
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.
关键词	Opinion Mining Opinion Targets Extraction Opinion Words Extraction
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000349621800004
引用统计	被引频次：54[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/173211/40856
专题	多模态人工智能系统全国重点实验室_自然语言处理
通讯作者	Liu Kang
推荐引用方式 GB/T 7714	Liu Kang,Xu Liheng,Zhao Jun. 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.(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.