Use of Social Media and Smartwatch Data Analytics for Mental Health Diagnosis

Abstract

In today's world, mental illness has become a common problem in several individuals life still, the diagnosis of mental disorders relies on traditional methods of testing by interpreting the patient just by psychometric test and by not taking into consideration various other factors. Whilst the number of social media users and smartwatch users have increased rapidly, software applications that interpret psychological data for health-related decisions have not followed a similar trend. The main motive behind this study is to examine the sentiments of the user's social media data and detect unusual patterns by smartwatch data analytics to help mental health workers in decision making. The paper proposes the methodology to capture and analyze real-time data of smartwatch and social media.