FAKE ACCOUNT DETECTION IN SOCIAL NETWORK USING MACHINE LEARNING AND DATA SCIENCE

Abstract

In present times, social media plays a key role in every individual life. Everyday majority of the people are spending their time on social media platforms. The number of accounts in these social networking sites has dramatically increasing day-by-day and many of the users are interacting with others irrespective of their time and location. These social media sites have both pros and cons and provide security problems to us also for our information. To scrutinize, who are giving threats in these networking sites we need to organize these social networking accounts into genuine accounts and fake accounts. Traditionally, we are having different classification methods to point out the fake accounts on social media. But we must increase the accuracy rate in identifying fake accounts on these sites. In our paper we are going with Machine Learning technologies and Natural Language processing (NLP) to increase the accuracy rate of detecting the fake accounts. We opted for Random Forest tree classifier algorithm.