Automatically identifying complaints in social media

Preoţiuc-Pietro, D., Găman, M. and Aletras, N. (2019) Automatically identifying complaints in social media. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 57th Annual Meeting of the Association for Computational Linguistics, 28 Jul - 02 Aug 2019, Florence, Italy. ACL , pp. 5008-5019.

Abstract

Metadata

Authors/Creators:
  • Preoţiuc-Pietro, D.
  • Găman, M.
  • Aletras, N.
Copyright, Publisher and Additional Information: © 2019 Association for Computational Linguistics. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Computation and Language; Social and Information Networks
Dates:
  • Published (online): 1 July 2019
  • Published: 1 July 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 31 Jul 2019 13:39
Last Modified: 09 Jan 2020 15:05
Status: Published
Publisher: ACL
Refereed: Yes
Identification Number: https://doi.org/10.18653/v1/P19-1495

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