Nobel Approach for Fake Profile Detection using different Machine Learning Algorithms

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Published: Aug 6, 2022
DOI: https://doi.org/10.26483/ijarcs.v13i0.6864
Keywords:
Machine Learning, Support Vector Machine (SVM), Random Forest, K-Nearest Neighbourand Social Media

Main Article Content

Anjali Vyas
Bhavika Rajora, Jaya Sisodiya, Payal Manghnani
Mohammad Adnan Sheikh

Abstract

Social activity of everybody in today’s’ generation has gotten associated with online social networks. These sites have made extreme changes in the way we follow our social lives. With the help of these sites making friends and stay connected has became easier. . As with the fast progress, there are also diverse effects have been taking place .People face the problems of fake profiles, false statics and so on. In this paper, we provide a framework for direct recognition of fake profiles .This framework uses various classification techniques in Machine Learning like SVM, Random Forest, K-nearest Neighbor, Decision tree Classifier to group the profiles into fake or genuine classes. It can be easily implemented online on social networks.

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Vol. 13 (2022): SPECIAL ISSUE 1 June 2022
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