MIDAS: Mental illness detection and analysis via social media

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

Volumn , Issue , 2016, Pages 1418-1421

  Saravia, Elvis ^a   Chang, Chun Hao ^a   De Lorenzo, Renaud Jollet ^a   Chen, Yi Shin ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; SOCIAL NETWORKING (ONLINE); WEB SERVICES;

BEHAVIORAL PATTERNS; DATA COLLECTION MECHANISM; MENTAL DISORDERS; MENTAL ILLNESS; ONLINE ENVIRONMENTS; PREDICTIVE MODELS; SOCIAL MEDIA;

DISEASES;

EID: 85006710912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2016.7752434     Document Type: Conference Paper

References (5)

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2. G. Coppersmith, M. Dredze, C. Harman, and K. Hollingshead. From adhd to sad: Analyzing the language of mental health on twitter through self-reported diagnoses. NAACL HLT 2015, page 1, 2015
3. M. De Choudhury, M. Gamon, S. Counts, and E. Horvitz. Predicting depression via social media. In ICWSM, page 2, 2013
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5. M. Sap, G. Park, J. C. Eichstaedt, M. L. Kern, D. Stillwell, M. Kosinski, L. H. Ungar, and H. A. Schwartz. Developing age and gender predictive lexica over social media. 2014