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dc.contributor.advisorAyma Quirita, Víctor Hugo
dc.contributor.authorCuzcano Chavez, Ximena Marianne
dc.date.accessioned2021-03-16T22:42:34Z
dc.date.available2021-03-16T22:42:34Z
dc.date.issued2020
dc.identifier.citationCuzcano Chavez, X. M. (2020). A comparison of classification models to detect cyberbullying in the peruvian spanish language on Twitter [Tesis para optar el Título Profesional de Ingeniero de Sistemas, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/12718es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/12718
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.publisherUniversidad de Limaes_PE
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/bachelorThesis
thesis.degree.disciplineIngeniería de sistemases_PE
thesis.degree.grantorUniversidad de Lima. Facultad de Ingeniería y Arquitecturaes_PE
thesis.degree.levelTítulo profesionales_PE
thesis.degree.nameIngeniero de sistemases_PE
dc.publisher.countryPEes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04
renati.author.dni76438232
renati.advisor.orcidhttps://orcid.org/0000-0002-0284-2610
renati.advisor.dni45025095
renati.jurorRodriguez-Rodriguez-Nadia-Katherine
renati.jurorRamos-Ponce, Oscar-Efrai
renati.jurorQuintana-Cruz, Hernan-Alejandro
renati.levelhttp://purl.org/pe-repo/renati/level#tituloProfesional
renati.typehttp://purl.org/pe-repo/renati/type#tesis
renati.discipline612076
dc.contributor.student1, OA, S


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