A Feature Extraction Method Using Base Phrase and keyword In Chinese Text

摘要：

The feature extraction is the most key technologyof text categorization.The word is used as the feature in the traditional text classification,and its effect forthe text classification is evidence.The featureextraction method using base phrase and keywordchanges the feature extraction of Chinese text fromsyntax and semantic further.In the first,analyzing thefeature of baseNP and basedVP,and then make somewords into baseNP and baseVP which accord to therules of phrase,give WSD to other words in the finally.The paper proposes a stepwise feature extraction fromword to phrase.The experiment results show that thismethod can perform much better than traditionalfeature extraction method it can improve the textclassification precision and recall.

作者: Xin-fu LI lei-lei ZHAO li-hong WU

作者单位: College of Mathematics and Computer Science,Hebei University,Baoding,071002,Hebei,China;Key Lab of Machine Learning and Computation Intelligence of Hebei Province

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 680-684

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）