Statistical and Similarity Methods for Classifying Emotion in Suicide Notes.

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Statistical and Similarity Methods for Classifying Emotion in Suicide Notes.

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Title: Statistical and Similarity Methods for Classifying Emotion in Suicide Notes.
Author(s):
Roberts, Kirk;
Harabagiu, Sanda M.
Format: text
Item Type: article
Keywords: Statistical methods
Suicide victims' writings
Abstract: In this paper we report on the approaches that we developed for the 2011 i2b2 Shared Task on Sentiment Analysis of Suicide Notes. We have cast the problem of detecting emotions in suicide notes as a supervised multi-label classification problem. Our classifiers use a variety of features based on (a) lexical indicators, (b) topic scores, and (c) similarity measures. Our best submission has a precision of 0.551, a recall of 0.485, and a F-measure of 0.516.
ISSN: 1178-2226
Persistent Link: http://dx.doi.org/10.4137/BII.S8958
http://hdl.handle.net/10735.1/2913
Terms of Use: © The Authors, publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.

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