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dc.contributor.authorCuzcano Chavez, Ximena Marianne
dc.contributor.authorAyma Quirita, Victor Hugo
dc.contributor.otherCuzcano Chavez, Ximena Marianne
dc.contributor.otherAyma Quirita, Víctor Hugo
dc.date.accessioned2021-03-24T17:09:00Z
dc.date.available2021-03-24T17:09:00Z
dc.date.issued2020
dc.identifier.citationCuzcano, X.M. & Ayma, V.H. (2020). A comparison of classification models to detect cyberbullying in the Peruvian Spanish language on twitter. International Journal of Advanced Computer Science and Applications, 11(10), 132-138. https://doi.org/10.14569/IJACSA.2020.0111018es_PE
dc.identifier.issn2158-107X
dc.identifier.urihttps://hdl.handle.net/20.500.12724/12843
dc.descriptionIndexado en Scopuses_PE
dc.description.abstractCyberbullying is a social problem in which bullies’ actions are more harmful than in traditional forms of bullying as they have the power to repeatedly humiliate the victim in front of an entire community through social media. Nowadays, multiple works aim at detecting acts of cyberbullying via the analysis of texts in social media publications written in one or more languages; however, few investigations target the cyberbullying detection in the Spanish language. In this work, we aim to compare four traditional supervised machine learning methods performances in detecting cyberbullying via the identification of four cyberbullying-related categories on Twitter posts written in the Peruvian Spanish language. Specifically, we trained and tested the Naive Bayes, Multinomial Logistic Regression, Support Vector Machines, and Random Forest classifiers upon a manually annotated dataset with the help of human participants. The results indicate that the best performing classifier for the cyberbullying detection task was the Support Vector Machine classifier.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherScience and Information Organizationes_PE
dc.relation.ispartofurn:issn:2158-107X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectCiberacosoes_PE
dc.subjectBlogses_PE
dc.subjectAcoso morales_PE
dc.subjectCyberbullyinges_PE
dc.subjectBullyinges_PE
dc.subject.classificationIngeniería de sistemas / Diseño y métodoses_PE
dc.titleA comparison of classification models to detect cyberbullying in the Peruvian Spanish language on twitteres_PE
dc.typeinfo:eu-repo/semantics/article
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.type.otherArtículo en Scopuses_PE
ulima.areas.lineasdeinvestigacionProductividad y empleo / Innovación: tecnologías y productoses_PE
dc.identifier.journalInternational Journal of Advanced Computer Science and Applicationses_PE
dc.publisher.countryGBes_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04
dc.identifier.doihttps://doi.org/10.14569/IJACSA.2020.0111018
ulima.autor.afiliacionCuzcano Chavez, Ximena Marianne (Systems Engineering Department, University of Lima)es_PE
ulima.autor.afiliacionAyma Quirita, Victor Hugo (Systems Engineering Department, University of Lima)es_PE
ulima.autor.carreraCuzcano Chavez, Ximena Marianne (No figura en la lista del año 2020)es_PE
ulima.autor.carreraAyma Quirita, Victor Hugo (Ingeniería de Sistemas)es_PE
dc.identifier.isni0000000121541816


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