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Article Dans Une Revue Biomedical Informatics Insights Année : 2012

A Combined Approach to Emotion Detection in Suicide Notes

Résumé

In this paper, we present the system we have developed for participating in the second task of the i2b2/VA 2011 challenge dedicated to emotion detection in clinical records. On the official evaluation, we ranked 6th out of 26 participants. Our best configuration, based upon a combination of both a machine-learning based approach and manually-defined transducers, obtained a 0.5383 global F-measure, while the distribution of the other 26 participants’ results is characterized by mean = 0.4875, stdev = 0.0742, min = 0.2967, max = 0.6139, and median = 0.5027. Combination of machine learning and transducer is achieved by computing the union of results from both approaches, each using a hierarchy of sentiment specific classifiers.

Dates et versions

hal-00790860 , version 1 (21-02-2013)

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Alexander Pak, Delphine Bernhard, Patrick Paroubek, Cyril Grouin. A Combined Approach to Emotion Detection in Suicide Notes. Biomedical Informatics Insights, 2012, 5 (1), pp.105-114. ⟨10.4137/BII.S8969⟩. ⟨hal-00790860⟩
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