European Journal of Molecular & Clinical Medicine

Abstract

Today, social network users around the world are rising significantly. This forum is useful for exchanging information, debating different topics, and even much of the time they spend on social media such as Twitter, Facebook, etc.Because of these physical human relationships, website users are reliant on regular Facebook updates, Twitter, etc.The latest studies indicate a relationship between mental health and the actions of the social network and how mental illness and social networks respond to each other is still unclear.This article attempts to use the data analysis of social network research to find a pattern for mental disorders without consulting the patient by using a Naïve Bayes classifier algorithm