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Sentiment analysis: an approach to verbal violence & abuse against women on twitter

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dc.contributor.authorCarretero González, Isabel
dc.date.accessioned2024-05-20T12:12:37Z
dc.date.available2024-05-20T12:12:37Z
dc.date.issued2019-12-30
dc.description.abstractRecent research shows that violence against women on social media occurs on a daily basis. Yet, little action has been taken on this issue. This dissertation is about exposing verbal violence and abuse directed at women on the micro-blogging site Twitter and how, by means of sentiment analysis software, problematic tweets could be efficiently pinpointed in consonance with their lexical content and syntactical structure. This piece of work is based on user knowledge of the platform as well as background research on feminism. Finally, it contains real-life instances of abusive tweets, a survey aimed at Twitter female users and a selection of scientific articles on the practical application of sentiment analysis software on various fields.en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/13345
dc.language.isoen
dc.publisherUniversidad Nacional de Educación a Distancia (España). Facultad de Filología. Departamento de Filologías Extranjeras y sus Lingüísticas
dc.relation.centerFacultad de Filología
dc.relation.departmentFilologías Extranjeras y sus Lingüísticas
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsSentiment analysis
dc.subject.keywordswomen
dc.subject.keywordsTwitter
dc.subject.keywordsviolence
dc.subject.keywordsabuse
dc.titleSentiment analysis: an approach to verbal violence & abuse against women on twitteres
dc.typeproyecto fin de carreraes
dc.typebachelor thesisen
dspace.entity.typePublication
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