文章基本信息

标题：Spam Filtering in Online Social Networks Using Machine Learning Technique
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作者：T.Suganya ; T.Hemalatha
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：1
出版社：S&S Publications
摘要：Internet has become a popular medium today. The usage of internet has increased widely. Internet reduces the manual work and also more time consuming .These is the reason why people today are connected to internet. In recent years Online Social Networks (OSNs) also developed well and plays an equal role. People use Online Social Networks (OSNs) to share their view of life. Online So cial Networks (OSNs) enables them to connect with their friends and families. Online Social Networks (OSNs) has become an important part of many people life today. Therefore Online Social Networks (OSNs) should be highly secure to protect the individual's privacy. Though (OSNs) provides the security measures but it was limited. To filter the spam, in this paper, we propose an enhanced filtering measure by using a machine learning technique based on a content filtering
关键词：Online social networks; Machine Learning; short text classifier; Filtered Wall