基于内容的短信分类系统的设计与实现

摘要

This paper presents a scheme of classification system of short message based on text content. The proposed scheme uses word segmentation and Bayes classifier, designs two layers classifier based on personalized classification of receiver and self-empowered learning of SMS center, realizes personalized content classification of short message and its value-added applications. The experiment shows that the proposed scheme can accurately realize personalized content classification of short message and the classification results can be conveniently applied to value-added applications of third party.%文章提出了一种基于内容的手机短信分类系统的设计方案．该方案根据短信内容，采用分词技术和贝叶斯机器学习方法，设计基于短信接收者个性化分类和短信中心端自主学习的二层分类方法，实现短信个性化内容分类及其分类结果的增值应用．实验结果表明，本方案可以较为精确地实现短信的个性化内容分类，分类结果可以方便地应用于第三方的增值应用．