文章基本信息

标题：Survey on Text Classification (Spam) Using Machine Learning
本地全文：下载
作者：Neetu Sharma ; GaganpreetKaur ; Ashish Verma 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5098-5102
出版社：TechScience Publications
摘要：E-mail spam is a very serious problem in today’s life. It has many conséquences like it causes lower productivity, occupy space in mail boxes, extend viruses, Trojans, and materials containing potentially harmful information for a certain category of users, Destroy stability of mail servers, and as a result users spend a lot of time for sorting incoming mail and deleting undesirable correspondence. There are various classifiers used for e-mail spam detection like Naïve Bayes Classifier, KNN Classifiers etc. We will use SVM classifier for e-mail spam detection which has not been used till now for detecting e-mail spam.
关键词：Spam; Text Classification ;Spam Classifier Methods