Publication Type:

Conference Paper

Source:

2014 IEEE Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2014, IEEE Computer Society, Bhopal (2014)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84900542700&partnerID=40&md5=caeb3d79118a9b9d23951a01c5acee58

Keywords:

Computer science, Integrated approach, Integrated control, Learning algorithms, Learning systems, Machine learning techniques, NAtural language processing, Natural language processing systems, Social media, Social networking (online), Spam classification, Supervised machine learning, Three-step process, tweets, Websites

Abstract:

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.

Notes:

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

Cite this Research Publication

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.