International Journal of Emergency Mental Health and Human Resilience
Open Access

Short Communication

Social Media Analytics for Behavioral Health

Department of Information Systems University of Maryland Baltimore, County Baltimore, Maryland, USA

*Corresponding Author:

Aryya Gangopadhyay
E-mail: gangopadg@umbc.edu

Mental health conditions affect a large percentage of individuals each year. Traditional mental health studies have relied on information collected through contact with the mental health practitioner. There has been research on the utility of social media for depression, but there have been limited evaluations of other mental health conditions (Jan-Are, Jan & Deede, 2002). First, we will examine specific techniques that have previously been used to analyze forum data, de ne behavioral health and public health issues, and lastly, we will explore the implications that this research has for big data analytics