CASIA OpenIR  > 模式识别国家重点实验室  > 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
Source PublicationIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2015-03-01
Volume27Issue:3Pages:636-650
SubtypeArticle
AbstractMining 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.
KeywordOpinion Mining Opinion Targets Extraction Opinion Words Extraction
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000349621800004
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8045
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorLiu Kang
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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