关键词: 文本分类, 半监督学习, 朴素贝叶斯, 流形和谱图

Abstract: Text categorization is a regular problem in people daily work and an interesting research area of machine learning. Semi-supervised learning algorithms, which consider both labeled and unlabeled data, can improve learning effectiveness significantly. This paper gives the definition and characteristic of text categorization and intro¬duces the traditional supervised learning algorithms and evaluation indicators. Then it analyzes the characteristic and basic theory of semi-supervised text categorization, and discusses some algorithms on semi-supervised text categori¬zation, such as Bayesian method and regularization method.

Key words: text categorization, semi-supervised learning, naï, ve Bayesian, manifold and spectralgraph