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Offensive Language Recognition in Social Media

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Offensive Language Recognition in Social Media

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Shushkevich, E.; Cardiff, J.; Rosso, P.; Akhtyamova, L. (2020). Offensive Language Recognition in Social Media. Computación y Sistemas. 24(2):523-532. https://doi.org/10.13053/CyS-24-2-3376

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166394

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Title: Offensive Language Recognition in Social Media
Author: Shushkevich, Elena Cardiff, John Rosso, Paolo Akhtyamova, Liliya
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] This article proposes an approach to solving the problem of multiclassification within the framework of aggressive language recognition in Twitter. At the stage of preprocessing external data is added to the existing ...[+]
Subjects: Hate speech , Ensemble of models , Logistic regression , Support vector machine , Naive Bayes
Copyrigths: Reserva de todos los derechos
Source:
Computación y Sistemas. (issn: 1405-5546 )
DOI: 10.13053/CyS-24-2-3376
Publisher:
Instituto Politecnico Nacional/Centro de Investigacion en Computacion
Publisher version: https://doi.org/10.13053/CyS-24-2-3376
Project ID:
AEI/PGC2018-096212-B-C31-AR
Thanks:
The work of Paolo Rosso was partially funded by the Spanish MICINN under the research project MISMISFAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31).
Type: Artículo

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