Abstract
Major depressive disorder is one of the most burdensome and debilitating diseases in the United States. In this pilot study, we present a new annotation scheme representing depressive symptoms and psycho-social stressors associated with major depressive disorder and report annotator agreement when applying the scheme to Twitter data.
Cite
CITATION STYLE
Mowery, D. L., Bryan, C., & Conway, M. (2015). Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data. In 2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop (pp. 89–98). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w15-1211
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