Data Science Approach for Social Media Analytics

Abstract

Today there is an exponential growth and widespread dependence of users on digital social media.
Deep learning has gained increased attention because of its huge processing power and data analytics
capability. Many works in the literature has focused on risks associated with sharing sensitive data
using Machine learning models to understand human behavior. An attempt has been made in this work
to evaluate the performance of Deep learning model to understand human behavior. The
experimentation results clearly reveal that Deep learning models provide a better prediction for
controlling the dynamics of information spread among peers