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1 Ergebnisse
1
Semi-Supervised Approach to Monitoring Clinical Depressive ..:
, In:
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
,
Yazdavar, Amir Hossein
;
Al-Olimat, Hussein S.
;
Ebrahimi, Monireh
... - p. 1191-1198 , 2017
Link:
https://dl.acm.org/doi/10.1145/3110025.3123028
RT T1 <cTitle>Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017</cTitle>: T1 <Title>Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3123028&Exemplar=1&LAN=DE A1 Yazdavar, Amir Hossein A1 Al-Olimat, Hussein S. A1 Ebrahimi, Monireh A1 Bajaj, Goonmeet A1 Banerjee, Tanvi A1 Thirunarayan, Krishnaprasad A1 Pathak, Jyotishman A1 Sheth, Amit PB ACM YR 2017 K1 Mental Health K1 Natural Language Processing K1 Semi-supervised Machine Learning K1 Social Media K1 Computing methodologies K1 Machine learning K1 Information systems K1 Information systems applications K1 Data mining K1 Information retrieval K1 Document representation K1 Artificial intelligence K1 Natural language processing SP 1191 OP 1198 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3110025.3123028 DO https://dl.acm.org/doi/10.1145/3110025.3123028 SF ELIB - SuUB Bremen
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