Spam and Fake Spam Message Detection Framework Using ML Algorithm
S. Kalaiarasi1, Saurabh Rai2, N.Hemanth Venkata Sai3, Anshuman Chaurasia4, B.Sreeshanth Reddy5
1S. Kalaiarasi, Assistant Professor, Department of Computer Science and Engineering, Ramapuram campus, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
2Saurabh Rai, Undergraduate Student, Department of Computer Science and Engineering, Ramapuram campus, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
3N.Hemanth Venkata Sai, Undergraduate Student, Department of Computer Science and Engineering, Ramapuram campus, SRM Institute of Science and Technology,
4Anshuman Chaurasia, Undergraduate Student, Department of Computer Science and Engineering, Ramapuram campus, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
5B.Sreeshanth Reddy, Undergraduate Student, Department of Computer Science and Engineering, Ramapuram campus, SRM Institute of Science and Technology, Chennai (TamilNadu), India.
Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 96-99 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60300486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The period of time now occurring social media has generated incomparable amounts of social data. It is a popular communication and also known as knowledge exchange media. Data could be of any type of text, numbers, figures or statistics that are accessed by a computer. Nowadays, many people depends on contents available in social media in their decisions. Sharing of information with peoples has also attracted social spammers to exploit and spread spam messages to promote personal web logs, advertisements, promotions, phishing, scam, frauds and so on. The prospect that anybody will leave a review give a golden chance for spammers to post spit review regarding product and services for various interests and chances. So, we propose a fake message detection framework using ML ,where we use RB, RL, UB, UL mechanisms in order to detect the spam and fake messages on the social media platform.
Keywords: Spam Detection, Machine Learning, Fake Reviews, Baye’s Theorem, NLP.
Scope of the Article: Machine Learning