关键词: 网页分类, 蚁群算法, 支持向量机, 召回率, 准确率

Abstract: Web page categorization is the foundation and core problem of web data mining，it is a typical application based on technology of natural language processing and machine learning.It is imperative to find an effective and efficient method for web page categorization.In this paper，a new method is proposed for web page categorization based on ant colony optimization algorithm（ACOA） and support vector machines（SVMs）.The experimental results show that the method is effective and robust，only to make up for the use of support vector machines for large sample training set less than the slow convergence with better precision and recall.

Key words: web page categorization, ant colony algorithm（ACA）, support vector machine（SVM）, recall, precision