Analysis and Characterization of Mental Health Conditions based on User Content on Social Media

Social networking media is presently utilized to understand the mental health of individuals as well as any health-related issues. Computer science researchers are currently applying statistical methods for the prediction of specific mental health disorders. Several studies have investigated to predict symptomatology like suicidality, depression, and anxiety. These research studies provide great benefits for diagnosing, monitoring, and designing intervention plans for people suffering from any mental health status. This paper conducts a systematic review of the studies predicting mental health conditions using social networking information. We analyzed several aspects of the existing studies such as design methods and strategies. This paper investigated the various Natural Language Processing strategies and Deep Learning methods used to detect mental health status