FAKE PROFILES IDENTIFICATION IN ONLINE SOCIAL NETWORKS USING MACHINE LEARNING AND NLP

Abstract

At present social network sites are part of the life for most of the people. Every day several
people are creating their profiles on the social network platforms and they are interacting with
others independent of the user‟s location and time. The social network sites not only providing
advantages to the users and also provide security issues to the users as well their information.
To analyze, who are encouraging threats in social network we need to classify the social
networks profiles of the users. From the classification, we can get the genuine profiles and fake
profiles on the social networks. Traditionally, we have different classification methods for
detecting the fake profiles on the social networks. But, we need to improve the accuracy rate of
the fake profile detection in the social networks. In this paper we are proposing Machine
learning and Natural language Processing (NLP) techniques to improve the accuracy rate of the
fake profiles detection. We can use the Support Vector Machine (SVM) and Naïve Bayes
algorithm.