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基于依存关系分析的网络评论极性分类研究
引用本文:李培,何中市,黄永文.基于依存关系分析的网络评论极性分类研究[J].计算机工程与应用,2010,46(11):138-141.
作者姓名:李培  何中市  黄永文
作者单位:重庆大学计算机学院,重庆,400044
基金项目:国家自然科学基金No.60173060;;重庆市自然科学基金项目No.2007BB2134;;重庆市高等教育教学改革研究项目No.0635207~~
摘    要:介绍一种利用句法依存关系对网络评论的极性进行自动分类的方法。通过从评论中提取出依存关系和词性,构成依存关系词性对,并利用自定义的极性词典进行分类,有效地减少计算的复杂度和提高分类的精度。实验表明,该方法相比其他方法取得了较好的分类效果,是一种可行且有效的对评论极性分类的方法。

关 键 词:依存关系分析  极性分类  依存关系词性对  网络评论
收稿时间:2008-10-15
修稿时间:2008-12-29  

Research of polarity classification of Web review based on dependency analysis
LI Pei,HE Zhong-shi,HUANG Yong-wenSchool of Computer Science,Chongqing University,Chongqing ,China.Research of polarity classification of Web review based on dependency analysis[J].Computer Engineering and Applications,2010,46(11):138-141.
Authors:LI Pei  HE Zhong-shi  HUANG Yong-wenSchool of Computer Science  Chongqing University  Chongqing  China
Affiliation:LI Pei,HE Zhong-shi,HUANG Yong-wenSchool of Computer Science,Chongqing University,Chongqing 400044,China
Abstract:A polarity classification approach of web review based on dependency analysis is proposed.Dependencies and part-ofspeeches are extracted from web review to construct dependency and part-of-speech pairs,and then classification by polarity dictionary is accomplished.The approach can effectively reduce the complexity of calculation and improve the accuracy of classification,by using dependency and part-of-speech pair and custom polar dictionary.This experiment results show that the approach will obtain higher ...
Keywords:dependency analysis  polarity classification  dependency and part-of-speech pair  Web review
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