Predicting Twitter user socioeconomic attributes with network and language information

Aletras, N. and Chamberlain, B.P. (2018) Predicting Twitter user socioeconomic attributes with network and language information. In: Proceedings of the 29th ACM Conference on Hypertext and Social Media. 29th ACM Conference on Hypertext and Social Media, 09-12 Jul 2018, Baltimore, MD, USA. ACM , pp. 20-24. ISBN 978-1-4503-5427-1

Abstract

Metadata

Authors/Creators:
  • Aletras, N.
  • Chamberlain, B.P.
Copyright, Publisher and Additional Information: © 2018 The owner/author(s). This is an author-produced version of a paper subsequently published in Proceedings of the 29th ACM Conference on Hypertext and Social Media. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: social media; graph embeddings; user profiling
Dates:
  • Published (online): 3 July 2018
  • Published: 3 July 2018
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: 02 Aug 2019 10:15
Last Modified: 06 Aug 2019 16:43
Status: Published
Publisher: ACM
Refereed: Yes
Identification Number: https://doi.org/10.1145/3209542.3209577

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