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Publication Type : Conference Paper
Thematic Areas : Amrita Center for Cybersecurity Systems and Networks
Publisher : Conference on Electrical, Electronics and Computer Science, SCEECS
Source : Conference on Electrical, Electronics and Computer Science, SCEECS
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
Campus : Amritapuri
School : Centre for Cybersecurity Systems and Networks
Center : Cyber Security
Department : cyber Security
Year : 2014
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.
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.