"Analyzing Clinical Depressive Symptoms in Twitter" by Amir Hossein Yazdavar

Selected Works of Tanvi Banerjee

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Presentation

Analyzing Clinical Depressive Symptoms in Twitter

Kno.e.sis Publications

Amir Hossein Yazdavar, Wright State University - Main Campus
Hussein S. Al-Olimat, Wright State University - Main Campus
Tanvi Banerjee, Wright State University - Main Campus
Krishnaprasad Thirunarayan, Wright State University - Main Campus
Amit P. Sheth, Wright State University - Main Campus

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Document Type

Presentation

Publication Date

8-1-2016

Disciplines

Bioinformatics,
Communication,
Communication Technology and New Media,
Computer Sciences,
Databases and Information Systems,
Life Sciences,
OS and Networks,
Physical Sciences and Mathematics,
Science and Technology Studies and
Social and Behavioral Sciences

Abstract

350 million people are suffering from clinical depression worldwide.

Comments

Presented at the 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact, Bethesda, MD, August 1-2, 2016.

Citation Information

Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, et al.. "Analyzing Clinical Depressive Symptoms in Twitter" (2016)
Available at: http://works.bepress.com/tanvi-banerjee/51/