- -

Offensive Language Recognition in Social Media

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Offensive Language Recognition in Social Media

Show simple item record

Files in this item

dc.contributor.author Shushkevich, Elena es_ES
dc.contributor.author Cardiff, John es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Akhtyamova, Liliya es_ES
dc.date.accessioned 2021-05-15T03:30:22Z
dc.date.available 2021-05-15T03:30:22Z
dc.date.issued 2020 es_ES
dc.identifier.issn 1405-5546 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166394
dc.description.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 dataset, which is based on information in the links in dataset. This made it possible to expand the training dataset and thereby to improve the quality of the classification. The model created is an ensemble of classical machine learning models included Logistic Regression, Support Vector Machines, Naive Bayes models and a combination of Logistic Regression and Naive Bayes. The obtained value of macro F1-score for one of the experiments achieved 0.61, which exceeds the state-of-art published value by 1 percentage point. This indicates the potential value of the proposed approach in the field of hate speech recognition in social media. es_ES
dc.description.sponsorship 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). es_ES
dc.language Inglés es_ES
dc.publisher Instituto Politecnico Nacional/Centro de Investigacion en Computacion es_ES
dc.relation info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096212-B-C31/ES/DESINFORMACION Y AGRESIVIDAD EN SOCIAL MEDIA: AGREGANDO INFORMACION Y ANALIZANDO EL LENGUAJE/ es_ES
dc.relation.ispartof Computación y Sistemas es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hate speech es_ES
dc.subject Ensemble of models es_ES
dc.subject Logistic regression es_ES
dc.subject Support vector machine es_ES
dc.subject Naive Bayes es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Offensive Language Recognition in Social Media es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.13053/CyS-24-2-3376 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.13053/CyS-24-2-3376 es_ES
dc.description.upvformatpinicio 523 es_ES
dc.description.upvformatpfin 532 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\433850 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


This item appears in the following Collection(s)

Show simple item record