ANALYSIS OF MENTAL STATE OF USERS USING SOCIAL MEDIA TO PREDICT DEPRESSION! A SURVEY

Ashar Khan, Mohd Shahid Husain, Anam Khan

Abstract


The rates of diagnosing depression and mental illness during the last few decapods,a number of cases prevail unheard-of.Symptoms linked to mental illness are detectable on Twitter, Facebook and web forums and automatic methods are more and more able to locate inactivity and other mental disease. In this paper, latest studies that planned to detect depression and mental illness by the use of social media are surveyed. Mentally ill users have already been pointed out the use of screening surveys, their community distribution of analysis on twitter, or by their membership in online forums, and that they were detectable originating at regulate users by patterns in their language and online activity. Various automated detection methods can help to detect depressed people using social media.In addition a number of authors experience that various Social Networking Sites activities may be linked to low self-confidence, particularly in youngpeopleandadolescents.

 


Keywords


Depression, Mental state,Social Media, Machine Learning, Deep learning

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DOI: https://doi.org/10.26483/ijarcs.v9i0.6146

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