基于潜在链接分析的FTSVM网页分类

Latent Link Analysis-based FTSVM for Hypertext Classification

回顾了模糊直推式模糊支持向量机(FTSVM)的不足,并提出了一种基于潜在链接分析并结合网页权重信息的FTSVM网页分类方法。新方法提高了分析网页超链接信息的效率,避免了经验参数的影响,充分考虑了网页权重的贡献。试验表明,提出的方法在网页基准测试数据上取得了优于FTSVM的分类效果。

This paper analyzes the deficiencies of the FTSVM. To overcome these shortcomings, it proposes a latent link analysis-based FTSVM （LLA_FTSVM） for hypertext classification, The new method takes the information of weights of hypertexts into consideration. Experimental results; show that the LLA_FTSVM performs well.