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

doi:10.1145/3110025.3123028

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Editors	Jana Diesner, Elena Ferrari, Guandong Xu
Publisher	Association for Computing Machinery, Inc
Pages	1191-1198
Number of pages	8
ISBN (Electronic)	9781450349932
DOIs	https://doi.org/10.1145/3110025.3123028
State	Published - Jul 31 2017
Externally published	Yes
Event	9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 - Sydney, Australia Duration: Jul 31 2017 → Aug 3 2017

Publication series

Name	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017

Conference

Conference	9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Country/Territory	Australia
City	Sydney
Period	7/31/17 → 8/3/17

ASJC Scopus Subject Areas

Computer Networks and Communications
Information Systems

Keywords

Mental health
Natural language processing
Semi-supervised machine learning
Social media

Access to Document

10.1145/3110025.3123028

Cite this

Yazdavar, A. H., Al-Olimat, H. S., Ebrahimi, M., Bajaj, G., Banerjee, T., Thirunarayan, K., Pathak, J., & Sheth, A. (2017). Semi-Supervised approach to monitoring clinical depressive symptoms in social media. In J. Diesner, E. Ferrari, & G. Xu (Eds.), Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 (pp. 1191-1198). (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3110025.3123028

Semi-Supervised approach to monitoring clinical depressive symptoms in social media. / Yazdavar, Amir Hossein; Al-Olimat, Hussein S.; Ebrahimi, Monireh et al.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. ed. / Jana Diesner; Elena Ferrari; Guandong Xu. Association for Computing Machinery, Inc, 2017. p. 1191-1198 (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yazdavar, AH, Al-Olimat, HS, Ebrahimi, M, Bajaj, G, Banerjee, T , Thirunarayan, K, Pathak, J & Sheth, A 2017, Semi-Supervised approach to monitoring clinical depressive symptoms in social media. in J Diesner, E Ferrari & G Xu (eds), Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, Association for Computing Machinery, Inc, pp. 1191-1198, 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, Sydney, Australia, 7/31/17. https://doi.org/10.1145/3110025.3123028

Yazdavar AH, Al-Olimat HS, Ebrahimi M, Bajaj G, Banerjee T , Thirunarayan K et al. Semi-Supervised approach to monitoring clinical depressive symptoms in social media. In Diesner J, Ferrari E, Xu G, editors, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Association for Computing Machinery, Inc. 2017. p. 1191-1198. (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017). doi: 10.1145/3110025.3123028

Yazdavar, Amir Hossein ; Al-Olimat, Hussein S. ; Ebrahimi, Monireh et al. / Semi-Supervised approach to monitoring clinical depressive symptoms in social media. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. editor / Jana Diesner ; Elena Ferrari ; Guandong Xu. Association for Computing Machinery, Inc, 2017. pp. 1191-1198 (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017).

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Semi-Supervised approach to monitoring clinical depressive symptoms in social media

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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