计算机工程 ›› 2007, Vol. 33 ›› Issue (02): 163-164.doi: 10.3969/j.issn.1000-3428.2007.02.057

• 人工智能及识别技术 • 上一篇    下一篇

基于主题和态度分类的文本过滤系统

闵 锦,黄萱菁   

  1. (复旦大学计算机科学与工程系,上海 200433)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-01-20 发布日期:2007-01-20

Text Filtering System Based on Topic and Sentiment Classification

MIN Jin, HUANG Xuanjing   

  1. (Department of Computer Science and Engineering, Fudan University, Shanghai 200433)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-01-20 Published:2007-01-20

摘要: 文本过滤是指从大量的文本数据流中寻找满足特定用户需求的文本的过程。该文介绍了一种文本过滤算法,该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。实验结果表明该方法具有较高的精度和召回率。

关键词: 文本过滤, 文本分类, 态度分类, 支持向量机

Abstract: Text filtering is the procedure of retrieving documents relevant to the requirements of specific users from a large-scale text data stream. This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine. The experimental results show this method has high classification precision and recall.

Key words: Text filtering, Text classification, Sentiment classification, Support vector machine(SVM)