Fake Profile Identification in Social Network using Machine Learning and NLP
P Latha, V. Sumitra, V. Sasikala, J. Arunarasi, A. R. Rajini, N. Nithiya
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 increasingday-by-day and many of the users are interacting with others irrespective of their timeand location. These social media sites have both pros and cons and providesecurity problems to us also for our information. To scrutinize, who are giving threats in thesenetworking sites we need to organize these social networking accounts into genuine accountsand fake accounts. Traditionally, we are having different classification methods to point outthe fake accounts on social media. But we must increase the accuracy rate in identifying fakeaccounts 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.