Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A

التفاصيل البيبلوغرافية
العنوان: Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A
المؤلفون: Bitew, Semere Kiros, Bekoulis, Ioannis, Deleu, Johannes, Sterckx, Lucas, Zaporojets, Klim, Demeester, Thomas, Develder, Chris
المصدر: Computationallinguistics and clinical psychology : from keyboard to clinic : Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology ; ISBN: 9781948087957 ; ISBN: 9781510887848
بيانات النشر: Association for Computational Linguistics (ACL)
سنة النشر: 2019
المجموعة: Ghent University Academic Bibliography
مصطلحات موضوعية: Languages and Literatures, Technology and Engineering
الوصف: This paper describes IDLab’s text classification systems submitted to Task A as part of the CLPsych 2019 shared task. The aim of this shared task was to develop automated systems that predict the degree of suicide risk of people based on their posts on Reddit. Bag-of-words features, emotion features and post level predictions are used to derive user-level predictions. Linear models and ensembles of these models are used to predict final scores. We find that predicting fine-grained risk levels is much more difficult than flagging potentially at-risk users. Furthermore, we do not find clear added value from building richer ensembles compared to simple baselines, given the available training data and the nature of the prediction task.
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
ردمك: 978-1-948087-95-7
978-1-5108-8784-8
1-948087-95-2
1-5108-8784-9
Relation: https://biblio.ugent.be/publication/8621471; http://hdl.handle.net/1854/LU-8621471; http://dx.doi.org/10.18653/v1/W19-3019; https://biblio.ugent.be/publication/8621471/file/8621474
DOI: 10.18653/v1/W19-3019
الاتاحة: https://biblio.ugent.be/publication/8621471
http://hdl.handle.net/1854/LU-8621471
https://doi.org/10.18653/v1/W19-3019
https://biblio.ugent.be/publication/8621471/file/8621474
Rights: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.48E3C7D2
قاعدة البيانات: BASE
الوصف
ردمك:9781948087957
9781510887848
1948087952
1510887849
DOI:10.18653/v1/W19-3019