Algorithm Research & Explore
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1054-1058

Opinion target extraction with syntactic structures and dependency relationships

Qiu Yunfei
Zhou Shuangyue
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

Present methods of opinion target extraction fail to extract multi-targets and compound target based on supervised learning model. This paper proposed an opinion method to deal with this issue based on syntactic structure and dependency relation. Firstly, it analyzed the dependency relationships between opinion targets and opinion words based on the different syntactic constituents of opinion targets and opinion words. Then, it defined features according to different dependencies. Finally, it selected the optimal feature combination by the greedy feature selection method to extract opinion targets with the conditional random field model. It conducted experiments in the evaluation data of task 3 of COAE2011. The results show that the value of F1 is 3%~6% higher than that of the present methods of opinion target extraction, and the method can identify the opinion targets effectively.

Foundation Support

国家自然科学基金资助项目(71371091)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0731
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Algorithm Research & Explore
Pages: 1054-1058
Serial Number: 1001-3695(2020)04-019-1054-05

Publish History

[2020-04-05] Printed Article

Cite This Article

邱云飞, 周双月. 基于句法结构和依存关系的评价对象提取 [J]. 计算机应用研究, 2020, 37 (4): 1054-1058. (Qiu Yunfei, Zhou Shuangyue. Opinion target extraction with syntactic structures and dependency relationships [J]. Application Research of Computers, 2020, 37 (4): 1054-1058. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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