A big data analytics framework for detecting user-level depression from social networks

Xingwei Yang, Rhonda McEwen, Liza Robee Ong, Morteza Zihayat
January 2020

Abstract

This paper presents a big data analytics framework for detecting user-level depression from social networks, contributing to mental health monitoring and support.

Type
Journal article
Publication
International Journal of Information Management

This work applies big data analytics techniques to detect depression indicators from social network data.

Big Data Analytics Depression Detection Social Networks Mental Health User Analysis
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.