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Sentiment Analysis of Suicide Notes: A Shared Task

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 p...

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Detalles Bibliográficos
Autores principales: Pestian, John P., Matykiewicz, Pawel, Linn-Gust, Michelle, South, Brett, Uzuner, Ozlem, Wiebe, Jan, Cohen, K. Bretonnel, Hurdle, John, Brew, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299408/
https://www.ncbi.nlm.nih.gov/pubmed/22419877
http://dx.doi.org/10.4137/BII.S9042
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author Pestian, John P.
Matykiewicz, Pawel
Linn-Gust, Michelle
South, Brett
Uzuner, Ozlem
Wiebe, Jan
Cohen, K. Bretonnel
Hurdle, John
Brew, Christopher
author_facet Pestian, John P.
Matykiewicz, Pawel
Linn-Gust, Michelle
South, Brett
Uzuner, Ozlem
Wiebe, Jan
Cohen, K. Bretonnel
Hurdle, John
Brew, Christopher
author_sort Pestian, John P.
collection PubMed
description 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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spelling pubmed-32994082012-03-12 Sentiment Analysis of Suicide Notes: A Shared Task Pestian, John P. Matykiewicz, Pawel Linn-Gust, Michelle South, Brett Uzuner, Ozlem Wiebe, Jan Cohen, K. Bretonnel Hurdle, John Brew, Christopher Biomed Inform Insights Original Research 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. Libertas Academica 2012-01-30 /pmc/articles/PMC3299408/ /pubmed/22419877 http://dx.doi.org/10.4137/BII.S9042 Text en © the author(s), 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.
spellingShingle Original Research
Pestian, John P.
Matykiewicz, Pawel
Linn-Gust, Michelle
South, Brett
Uzuner, Ozlem
Wiebe, Jan
Cohen, K. Bretonnel
Hurdle, John
Brew, Christopher
Sentiment Analysis of Suicide Notes: A Shared Task
title Sentiment Analysis of Suicide Notes: A Shared Task
title_full Sentiment Analysis of Suicide Notes: A Shared Task
title_fullStr Sentiment Analysis of Suicide Notes: A Shared Task
title_full_unstemmed Sentiment Analysis of Suicide Notes: A Shared Task
title_short Sentiment Analysis of Suicide Notes: A Shared Task
title_sort sentiment analysis of suicide notes: a shared task
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3299408/
https://www.ncbi.nlm.nih.gov/pubmed/22419877
http://dx.doi.org/10.4137/BII.S9042
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