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Updated: May 19, 2026

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
Published on: May 15, 2016
Labeling emotions in suicide notes: cost-sensitive learning with heterogeneous features
Jonathon Read1, Erik Velldal, Lilja Ovrelid
1Department of Informatics, University of Oslo, Norway.
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.
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