Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing Perspective

Aletras, N., Tsarapatsanis, D. orcid.org/0000-0002-6419-4321, Preoţiuc-Pietro, D. et al. (1 more author) (2016) Predicting Judicial Decisions of the European Court of Human Rights: A Natural Language Processing Perspective. PeerJ in Computer Science, 2. e93. ISSN 2376-5992

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Copyright, Publisher and Additional Information: © 2016 Aletras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
Keywords: Natural Language Processing, Text Mining, Legal Science, Machine Learning, Artificial Intelligence, Judicial decisions
Dates:
  • Published: 24 October 2016
  • Published (online): 24 October 2016
  • Accepted: 23 September 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Law (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 22 Nov 2016 16:44
Last Modified: 04 Dec 2016 12:08
Published Version: https://doi.org/10.7717/peerj-cs.93
Status: Published
Publisher: PeerJ
Refereed: Yes
Identification Number: https://doi.org/10.7717/peerj-cs.93

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