基于朴素贝叶斯的中文垃圾邮件过滤  

Chinese Spam Filtering based on Naive Bayes

作　　者：张培[1] 纪鸿旭 李璐[1] Zhang Pei;Ji Hongxu;Li Lu(Yunnan University,Kunming Yunnan 650500,China)

机构地区：[1]云南大学,云南昆明650500

出　　处：《信息与电脑》2017年第7期79-81,共3页Information & Computer

摘　　要：电子邮件是现今生活中一种必不可少的交流方式,在给人们带来便利的同时也滋生了很多垃圾邮件。笔者的研究目的即实现对垃圾邮件的有效过滤。首先介绍了垃圾邮件的背景以及国内外研究现状,然后介绍相关技术,接下来设计了垃圾邮件的分类结构和流程,最后,通过样本集验证功能,计算准确度和召回率。E-mail is an indispensable way of communication nowadays,and it has brought convenience to people and a lot of spam.The purpose of this article is to achieve effective filtering of spam.This paper first introduces the background of spam and current state of research,and introduces the relevant technologies,then designs classification structure and process of spam,finally,through the verification function of sample set,calculates the accuracy and recall rate.

关 键 词：垃圾邮件过滤 朴素贝叶斯 中文分词 

分 类 号：TP393.098[自动化与计算机技术—计算机应用技术]