计算机与现代化Issue(4)：16-20,5.DOI:10.3969/j.issn.1006-2475.2016.04.004
结合词性规则和依存句法分析的评价对象抽取方法
Opinion Target Extraction Method with Speech Rules and Dependency Parsing
张建华 1肖中正2
作者信息
- 1. 广西财经学院实验教学中心，广西 南宁 530003
- 2. 国海证券股份有限公司，广西 南宁 530028
- 折叠
摘要
Abstract
Extracting opinion targets simultaneously benefit users and businesses, as businesses understand the product features by the opinion target of interest to users, then improve product quality, and users can make purchasing decisions by these ob-jects.Due to the special circumstances of Web reviews, the extraction of opinion targets is more complex than conventional infor-mation processing.Based on some scholars’ basic researches, the paper proposed an extracting method for speech rules and de-pendency parsing.Firstly, speech rule is used to make noun phrase extraction template, getting candidate opinion targets that are filtered for the first time according to the modification of evaluation terms to opinion target.Secondly, eight kinds of dependency relationship are used to filter opinion targets for the second time.Finally, two kinds of screening results are combined to give the final opinion targets.Experimental results demonstrate that this method on three types of data sets has achieved certain results.关键词
评价对象/评价词/信息抽取/词性规则/依存句法分析Key words
opinion target/evaluation term/information extraction/speech rules/dependency parsing分类
信息技术与安全科学引用本文复制引用
张建华,肖中正..结合词性规则和依存句法分析的评价对象抽取方法[J].计算机与现代化,2016,(4):16-20,5.
