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- W2003443159 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." @default.
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- W2003443159 date "2012-01-01" @default.
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- W2003443159 title "Statistical and Similarity Methods for Classifying Emotion in Suicide Notes" @default.
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- W2003443159 doi "https://doi.org/10.4137/bii.s8958" @default.
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