Depression

A SEMANTICALLY ENHANCED APPROACH TO IDENTIFY DEPRESSION INDICATIVE SYMPTOMS USING TWITTER DATA

Ankita Saxena. A SEMANTICALLY ENHANCED APPROACH TO IDENTIFY DEPRESSION INDICATIVE SYMPTOMS USING TWITTER DATA. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2018.

SAXENA, ANKITA. M.S., Department of Computer Science and Engineering, Wright State University, 2018. A Semantically Enhanced Approach to Identify Depression-Indicative Symptoms Using Twitter Data.

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.
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