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Simultaneously identifying opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog texts
Joint Authors
Liu, Quanchao
Huang, Heyan
Feng, Chong
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 4 (31 Jul. 2017)9 p.
Publisher
Publication Date
2017-07-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
We propose to simultaneously identify opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog texts, i.e., to identify opinion-bearing words by means of opinion-bearing words dictionary and to identify opinion targets by considering multi-features between opinion targets and opinion-bearing words and then we take a future step to optimize forwarding-based opinion target identification.
We decompose our task into four phases: 1) construct opinion-bearing words dictionary and identify opinion-bearing word in a sentence from Chinese micro-blog; 2) design multiple features related to opinion target identification, containing token, Part-Of-Speech (POS), Word Distance (WD), Direct Dependency Relation (DDR) and SRL; 3) design three kinds of different feature templates to identify feature-opinion pairs <opinion target, opinion-bearing word> in Chinese micro-blog texts; 4) combining forwarding relation between individual micro-blogs, we solve the problem of identifying opinion target in short micro-blog.
The experiments with Natural Language Processing (NLP) and Chinese Computing (CC) 2012 and 2013's labeled data show that our approach provides better performance than the baselines and most systems reported at NLP and CC 2012 and 2013.
American Psychological Association (APA)
Liu, Quanchao& Huang, Heyan& Feng, Chong. 2017. Simultaneously identifying opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog texts. The International Arab Journal of Information Technology،Vol. 14, no. 4.
https://search.emarefa.net/detail/BIM-902658
Modern Language Association (MLA)
Liu, Quanchao…[et al.]. Simultaneously identifying opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog texts. The International Arab Journal of Information Technology Vol. 14, no. 4 (Jul. 2017).
https://search.emarefa.net/detail/BIM-902658
American Medical Association (AMA)
Liu, Quanchao& Huang, Heyan& Feng, Chong. Simultaneously identifying opinion targets and opinion-bearing words based on multi-features in Chinese micro-blog texts. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4.
https://search.emarefa.net/detail/BIM-902658
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-902658