Detection of User Identity in Social Networks

摘要

ZJn today’s world, social media is used every individual for expressing their feelings, opinion, experiences and emotions. Applying data mining on all these emotions expressed in posts, comments and likes called as social media data. This study aims to verify the owners of social accounts, in order to eliminate the effect of any fake accounts on the people. This paper targets to detect the genuine accounts versus fake accounts by using writeprint identification method which is writing style biometric. There are various strategies which are used by the researchers to detect the authorship identification. Here, in this research paper Supervised Machine learning technique is used. The data which has been provided for the entire process to be performed is extracted from the Twitter with the help of R package as it provides interface with the Twitter web API (Application Programmable Interface). Various Calculations has been performed to calculate the accuracy, precision, and other parameters.