In the present day world, people are so much habituated to Social Networks. Because of this, it is very easy to spread spam contents through them. One can access the details of any person very easily through these sites. No one is safe inside the social media. In this paper we are proposing an application which uses an integrated approach to the spam classification in Twitter. The integrated approach comprises the use of URL analysis, natural language processing and supervised machine learning techniques. In short, this is a three step process. © 2014 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@6aba0d28 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@5cb5f3d5 Through org.apache.xalan.xsltc.dom.DOMAdapter@2d9b5480; Conference Code:105100
K. Kandasamy and Koroth, P., “An integrated approach to spam classification on Twitter using URL analysis, natural language processing and machine learning techniques”, in 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2014, Bhopal, 2014.