基于类别关键词的突发事件新闻文本分类方法  

Text classification of accident news based on category keyword

作　　者：张永奎[1] 李红娟[1] 

机构地区：[1]山西大学计算机与信息技术学院

出　　处：《计算机应用》2008年第B06期139-140,143,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60475022);山西省自然科学基金资助项目(20041041);山西省回国留学人员基金资助项目(2002004)

摘　　要：对突发事件新闻领域的文本自动分类问题进行了研究,提出了一种基于类别关键词的分类方法。在应用向量空间模型的基础上,充分考虑了类别关键词对于文本分类的特殊作用,并进行了实验。实验结果表明,加入类别关键词后,文本分类的精度有较大的提高,该方法具有一定的实用价值。The method of automatic text classification based on accident news was researched, and a classified method based on category keyword was proposed. The special effect of category keyword to text classification was considered on applying the vector space model and an experiment was carried out. The experimental results show that the precision of text classification was improved after joining the category keyword and this method can perform well.

关 键 词：文本分类 类别关键词 向量空间模型 突发事件新闻 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]