Mining Twitter for Suicide Prevention-Reference-Cited by-同舟云学术

Mining Twitter for Suicide Prevention

Published:2014 Issue: Volume: Page:250-253
ISSN:0302-9743
Container-title:Natural Language Processing and Information Systems
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Author:

Abboute Amayas,Boudjeriou Yasser,Entringer Gilles,Azé Jérôme,Bringay Sandra,Poncelet Pascal

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-07983-7_36

Reference4 articles.

1. Gunn, J., Lester, D.: Twitter postings and suicide: An analysis of the postings of a fatal suicide in the 24 hours prior to death. Suicidologi 17(3), 28–30 (2012)

2. Luyckx, K., Vaassen, F., Peersman, C., Daelemans, W.: Fine-grained emotion detection in suicide notes: A thresholding approach to multi-label classification. Biomed Inform. Insights 5(1), 61–69 (2012)

3. Roche, M., Garbasevschi, O.M.: WeMiT: Web-Mining for Translation. In: Conference on Prestigious Applications of Intelligent Systems, Montpellier, France, pp. 993–994 (August 2012)

4. Mohammad, S.M., Turney, P.D.: Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon. In: Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 26–34. ACL, Stroudsburg (2010)

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