TY  - JOUR
PY  - 2012//
TI  - Labeling emotions in suicide notes: cost-sensitive learning with heterogeneous features
JO  - Biomedical informatics insights
A1  - Read, Jonathon
A1  - Velldal, Erik
A1  - Ovrelid, Lilja
SP  - 99
EP  - 103
VL  - 5
IS  - Suppl 1
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1178-2226
UR  - http://dx.doi.org/10.4137/BII.S8930
ID  - ref1
ER  -