Classifying ReachOut posts with a radial basis function SVM

Chris Brew
2016 Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology  
The ReachOut clinical psychology shared task challenge addresses the problem of providing an automatic triage for posts to a support forum for people with a history of mental health issues. Posts are classified into green, amber, red and crisis. The non-green categories correspond to increasing levels of urgency for some form of intervention. The Thomson Reuters submissions arose from an idea about self-training and ensemble learning. The available labeled training set is small (947 examples)
more » ... ll (947 examples) and the class distribution unbalanced. It was therefore hoped to develop a method that would make use of the larger dataset of unlabeled posts provided by the organisers. This did not work, but the performance of a radial basis function SVM intended as a baseline was relatively good. Therefore, the report focuses on the latter, aiming to understand the reasons for its performance.
doi:10.18653/v1/w16-0315 dblp:conf/naacl/Brew16 fatcat:ebmubj2iyvgd7c4wdibn5yem2q