Abstract
We report on a multiclass classifier for triage of mental health forum posts as part of the CLPsych 2016 shared task. We investigate a number of document representations, including topic models and representation learning to represent posts in semantic space, including context- and emotion-sensitive feature representations of posts.
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CITATION STYLE
Friedenberg, M., Amiri, H., Daumé, H., & Resnik, P. (2016). The UMD CLPsych 2016 shared task system: Text representation for predicting triage of forum posts about mental health. In Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 158–161). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-0319
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