A novel approach based on an extended cuckoo search algorithm for the classification of tweets which contain emoticon and emoji

Redmond, M., Salesi, S. and Cosma, G. ORCID: 0000-0002-4663-6907, 2017. A novel approach based on an extended cuckoo search algorithm for the classification of tweets which contain emoticon and emoji. In: Proceedings of the 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA 2017), Imperial College London, 21-23 October 2017. Piscataway, N.J.: Institute of Electrical and Electronics Engineers, pp. 13-19. ISBN 9781538621509

Full text not available from this repository.
Item Type: Chapter in book
Creators: Redmond, M., Salesi, S. and Cosma, G.
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, N.J.
Date: 2017
Identifiers:
NumberType
10.1109/ICKEA.2017.8169894DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 11 Jan 2018 11:56
Last Modified: 11 Jan 2018 11:56
URI: http://irep.ntu.ac.uk/id/eprint/32393

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