Crowd-based profiling: A framework to detect psychological disorders in social media users

Abstract

Psychological disorders are presently striking a large number of population from various civilization, society, occupation and different locations around the world. The main obstacle of psychological disorders is the difficulty to detect on people suffering from these disorders, hence resulting in introducing a worrying amount of undetectable cases and false detection issue. Our methodology aims at constructing detective models to identify psychological disorders among online social media users. These detective models are attainable by engaging a basic data collection process formulated as crowd based profiling, which assists us to collect accurate and more efficient data set of people from various categories. Our experiment proposes that obtaining specific English language patterns and socializing attributes from data sets paves the way to deal with advanced experiments on psychological disorders.