A Graph-Based Approach to Topic Clustering for Online Comments to News

Aker, A., Kurtic, E., Balamurali, A.R. et al. (4 more authors) (2016) A Graph-Based Approach to Topic Clustering for Online Comments to News. In: Ferro, N., Crestani, F., Moens, M.-F., Mothe, J., Silvestri, F., Di Nunzio, G.M., Hauff, C. and Silvello, G., (eds.) Advances in Information Retrieval. ECIR 2016: European Conference on Information Retrieval, 20 - 23 March 2016, Padua, Italy. Lecture Notes in Computer Science, 9626 . Springer International Publishing , pp. 15-29. ISBN 978-3-319-30671-1

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Copyright, Publisher and Additional Information: © 2016 Springer. This is an author produced version of a paper subsequently published in Advances in Information Retrieval (Lecture Notes in Computer Science). Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 2016
  • Published (online): 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Human Communication Sciences (Sheffield)
The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 16 Jun 2017 13:32
Last Modified: 21 Mar 2018 01:27
Published Version: http://dx.doi.org/10.1007/978-3-319-30671-1_2
Status: Published
Publisher: Springer International Publishing
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-30671-1_2
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