A unified latent variable model for contrastive opinion mining

Ibeke, E., Lin, C. orcid.org/0000-0003-3454-2468, Wyner, A. et al. (1 more author) (2020) A unified latent variable model for contrastive opinion mining. Frontiers of Computer Science, 14 (2). pp. 404-416. ISSN 2095-2228



Copyright, Publisher and Additional Information: © 2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature. This is an author-produced version of a paper subsequently published in Frontiers of Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: contrastive opinion mining; sentiment analysis; topic modelling
  • Accepted: 3 November 2017
  • Published (online): 30 August 2019
  • Published: April 2020
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: 21 Jan 2020 13:14
Last Modified: 30 Aug 2020 00:38
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11704-018-7073-5