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. 2012 Jan 30;5(Suppl 1):3-16.
doi: 10.4137/bii.s9042.

Sentiment Analysis of Suicide Notes: A Shared Task

John P Pestian  1 , Pawel Matykiewicz, Michelle Linn-Gust, Brett South, Ozlem Uzuner, Jan Wiebe, K Bretonnel Cohen, John Hurdle, Christopher Brew
Affiliations

Sentiment Analysis of Suicide Notes: A Shared Task

John P Pestian et al. Biomed Inform Insights. .

Abstract

This paper reports on a shared task involving the assignment of emotions to suicide notes. Two features distinguished this task from previous shared tasks in the biomedical domain. One is that it resulted in the corpus of fully anonymized clinical text and annotated suicide notes. This resource is permanently available and will (we hope) facilitate future research. The other key feature of the task is that it required categorization with respect to a large set of labels. The number of participants was larger than in any previous biomedical challenge task. We describe the data production process and the evaluation measures, and give a preliminary analysis of the results. Many systems performed at levels approaching the inter-coder agreement, suggesting that human-like performance on this task is within the reach of currently available technologies.

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Figures

Figure 1.
Figure 1.
Geographic location of participants.
Figure 2.
Figure 2.
Comparison of different systems’ outputs using distance. d = 1. F1 and hierarchical clustering with minimum variance condition.
See this image and copyright information in PMC

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