Mental Health Analysis via Social Media Data
Document Type
Conference Proceeding
Publication Date
7-24-2018
Abstract
With ubiquity of social media platforms, millions of people are routinely sharing their moods, feelings and even their daily struggles with mental health issues by expressing it verbally or indirectly through images they post. In this study, we aim to examine exploitation of big multi-modal social media data for studying depressive behavior and its population trend across the U.S. to better understand a regions influence on the prevailing environment and available care. In partic-ular, employing statistical techniques along with the fusion of heterogeneous features gleaned from different modalities (shared images and textual content), we build models to detect depressed individuals and their demographics.
Repository Citation
Yazdavar, A.,
Mahdavinejad, M.,
Bajaj, G.,
Thirunarayan, K.,
Pathak, J.,
& Sheth, A.
(2018). Mental Health Analysis via Social Media Data. Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018, 459-460.
https://corescholar.libraries.wright.edu/cse/560
DOI
10.1109/ICHI.2018.00102
