%0 Journal Article
%T Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features
%A Jonathon Read
%A Erik Velldal and Lilja  vrelid
%J Biomedical Informatics Insights
%D 2012
%I 
%R 10.4137/BII.S8930
%X This paper describes a system developed for Track 2 of the 2011 Medical NLP Challenge on identifying emotions in suicide notes. Our approach involves learning a collection of one-versus-all classifiers, each deciding whether or not a particular label should be assigned to a given sentence. We explore a variety of features types¡ªsyntactic, semantic and surface-oriented. Cost-sensitive learning is used for dealing with the issue of class imbalance in the data.
%U http://www.la-press.com/labeling-emotions-in-suicide-notes-cost-sensitive-learning-with-hetero-article-a3025