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Irony Detection in Twitter: The Role of Affective Content

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Hernandez-Farias, DI.; Patti, V.; Rosso, P. (2016). Irony Detection in Twitter: The Role of Affective Content. ACM Transactions on Internet Technology. 16(3):19:1-19:24. doi:10.1145/2930663

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/81998

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Title: Irony Detection in Twitter: The Role of Affective Content
Author:
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
[EN] Irony has been proven to be pervasive in social media, posing a challenge to sentiment analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a key role. In this work, we address ...[+]
Subjects: Irony detection , Figurative language processing , Affective resources
Copyrigths: Reserva de todos los derechos
Source:
ACM Transactions on Internet Technology. (issn: 1533-5399 )
DOI: 10.1145/2930663
Publisher:
Association for Computing Machinery (ACM)
Publisher version: http://dx.doi.org/10.1145/2930663
Description: © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Internet Technology, Vol. 16. http://dx.doi.org/10.1145/2930663.
Thanks:
The National Council for Science and Technology (CONACyT Mexico) has funded the research work of Delia Irazu Hernandez Farias (Grant No. 218109/313683 CVU-369616). The work of Viviana Patti was partially carried out at the ...[+]
Type: Artículo

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