基于语义模板的文档自动分类模型研究  

Study on Automatic Classification Model of Documents Based on Semantics

作　　者：李海蓉[1] 

机构地区：[1]西华师范大学图书馆,四川南充637002

出　　处：《情报科学》2012年第6期852-857,共6页Information Science

摘　　要：简要介绍语义模板的概念,提出基于语义模板向量空间的文档自动分类模型。利用支持向量机(SVM,Support Vector Machine)分类算法对文档测试集进行基于语义模板空间、词向量空间的分类实验,实验结果表明,基于语义模板空间的文本分类性能比基于词向量空间的分类性能要高。Simply introduced the concepts of semantic pattern, and proposed an automatic classification of Documents based on semantic pattern vector space. With the SVM classification algorithm carrying out classification experiment to document test corpus based on semantic pattern vector space and based on word vector space. Experimental results show that text classification performance based on semantic pattern vector space is higher than that based on word vector space.

关 键 词：语义模板 向量空间模型 文档 自动分类 

分 类 号：G350[文化科学—情报学]