Citation

Read J, Velldal E, Ovrelid L. Biomed. Inform. Insights 2012; 5(Suppl 1): 99-103.

Affiliation

Department of Informatics, University of Oslo, Norway.

Copyright

(Copyright © 2012, Libertas Academica)

DOI

10.4137/BII.S8930

PMID

22879765

PMCID

PMC3409483

Abstract

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-syntactic, semantic and surface-oriented. Cost-sensitive learning is used for dealing with the issue of class imbalance in the data.

Language: en