Research and Implement of Chinese Text Classifier Based on Na.ve Bayes Method

摘要：

Na(i)e Bayes classifier is proved to be one of the most effective classifier an be used widely. It applies statistical theory to text classification. This paper researched and implemented a Chinese text classifier using JAVA base on Na(i)e Bayes Method. First of all, this paper described test classification system, the content includes text information expressing, extracting and the method of Chinese text classification. Then it used JAVA to implement Na(i)e Bayes classification algorithm. Finally this paper made a performance evaluation to the classifier in this classification system, it used the indicators of precision, recall and run time to evaluate the classification results, experiment showed that this classification system has a higher classification accuracy.

作者: Jian Huang Zhongdi Cen Qiuhong Zheng

作者单位: Department of Computer Science and Information Technology ZheJiang Wanli University Ningbo 31510 ,Zhejiang, PRC

会议类型: 国际会议

会议名称: Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)

会议地点: 宁波

会议语种:英文

页码: 426-428

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）