Repositório ISCTE-IUL Deposited in Repositório ISCTE-IUL: 2018-06-08 Deposited version: Post-print Peer-review status of attached file: Peer-reviewed Citation for published item: Carvalho, J. P., Rosa, H. & Batista, F. (2017). Detecting relevant tweets in very large tweet collections: the London Riots case study. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Naples: IEEE. Further information on publisher's website: 10.1109/FUZZ-IEEE.2017.8015635 Publisher's copyright statement: This is the peer reviewed version of the following article: Carvalho, J. P., Rosa, H. & Batista, F. (2017). Detecting relevant tweets in very large tweet collections: the London Riots case study. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017. Naples: IEEE., which has been published in final form at https://dx.doi.org/10.1109/FUZZ-IEEE.2017.8015635. This article may be used for non-commercial purposes in accordance with the Publisher's Terms and Conditions for self- archiving. Use policy Creative Commons CC BY 4.0 The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-profit purposes provided that:  a full bibliographic reference is made to the original source  a link is made to the metadata record in the Repository  the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Serviços de Informação e Documentação, Instituto Universitário de Lisboa (ISCTE-IUL) Av. das Forças Armadas, Edifício II, 1649-026 Lisboa Portugal Phone: +(351) 217 903 024 | e-mail: administrador.repositorio@iscte-iul.pt https://repositorio.iscte-iul.pt