基于改进的朴素贝叶斯分类的手机垃圾短信识别研究

The Identification Study of Mobile Rubbish Short Message Based on Advanced Nave Bayesian Classification

垃圾短信给人们的生活带来了越来越多的扰乱与不安,改革了传统的朴素贝叶斯分类模型,对垃圾短信进行识别过滤,实验表明该方法提高了准确率,具有较好的分类效果。

It makes people more and more uncomfortable with the emerging of rubbish short messages. We improved traditional naǐve Bayesian classification and realized filtrating of rubbish short mes-sages. The experiment shows the method improved the nicety and the classification does work.