基于朴素贝叶斯的文本分类

Text Categorization Based on Naive Bayesian

朴素贝叶斯是一种用于不确定性推理的方法,其原理简单,但是适用性却很强。将朴素贝叶斯用在文本分类中。在传统的文本分类方法的基础上,对文本特征的选择做了改进,通过实验,达到了比较满意的效果。

Naive Bayesian is a method used in uncertainty inference.it is simple,but very strong applicability.This article uses Naive Bayesian in text categorization.On the basis of the traditional text categorization method, this paper improve method of choice of text characteristic.Through the experiment, satisfactory result is achieved.