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| 面向中文客户评论的产品属性抽取方法研究 | |
| 引用本文： | 陈炯,张虎,曹付元,张永奎.面向中文客户评论的产品属性抽取方法研究[J].计算机工程与设计,2012,33(3):1245-1250. |
| 作者姓名： | 陈炯 张虎 曹付元 张永奎 |
| 作者单位： | 1. 山西职业技术学院计算机工程系,山西太原,030006 2. 山西大学计算机与信息技术学院,山西太原030006;山西大学计算智能与中文信息处理教育部重点实验室,山西太原030006 3. 山西大学计算机与信息技术学院,山西太原030006;山西大学商务学院,山西太原030031 |
| 基金项目： | 国家自然科学基金项目(60875040);山西省青年科技基金项目(2010021016-2) |
| 摘 要： | 针对现有的中文客户评论产品属性识别方法存在的不足,通过采用词法分析、句法分析、同义词词林等多项技术和资源,挖掘真实语料中蕴藏的语言知识,提出了一种基于模板的产品属性识别方法.该方法对评论语料进行词法、句法分析和人工标注,从标注结果中综合分析和归纳评论句的全局语言规则,提取属性词和评价词之间的词性和依存关系序列,借助同义词词林构建产品属性模板,使用属性模板识别产品属性.对比实验结果表明了提出方法的有效性. |
| 关 键 词： | 在线客户评论 产品属性抽取 依存句法分析 模板 同义词词林 |
Research on product feature extraction from Chinese customer reviews |
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| CHEN Jiong , ZHANG Hu , CAO Fu-yuan , ZHANG Yong-kui.Research on product feature extraction from Chinese customer reviews[J].Computer Engineering and Design,2012,33(3):1245-1250. | |
| Authors: | CHEN Jiong ZHANG Hu CAO Fu-yuan ZHANG Yong-kui |
| Affiliation: | 2,4(1.Department of Computer Engineering,Shanxi Polytechnic College,Taiyuan 030006,China; 2.School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;3.Key Laboratory of Ministry of Education for Computation Intelligence and Chinese Information Processing,Shanxi University, Taiyuan 030006,China;4.College of Business,Shanxi University,Taiyuan 030031,China) |
| Abstract: | In view of the shortcomings of the existing methods which extracts product features from Chinese customer reviews,a template-based method of product feature extraction is proposed by using diverse techniques and resources such as lexical analysis,syntactic analysis and Tongyici Cilin to mine potential language knowledge in real corpora.Firstly this method conducts lexical analysis,syntactic analysis and artificial labelling to the reviews corpora,and then analyzes and sums up the global language rules from the marked results,and extracts the sequences of the POS and dependency parsing tags from the feature word and the opinion word,furthermore constructs the product feature templates by using Tongyici Cilin resource,finally the product features stated in consumer reviews are identified by using the feature templates.Experimental results show that the proposed method is effective. |
| Keywords: | online customer reviews product feature extraction dependency parsing template Tongyici Cilin |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
