Resumen
Nowadays, the constant development of information and communication technologies (ICTs) has changed the inter-personal interaction, allowing to transfer real experiences to a virtualized medium such as Internet. In this sense, although the space-time barriers of traditional communication are broken and social relationships are strengthened, problems related to adverse behaviors may arise. Bullying, defined as an act that threatens a person's holistic well-being, becomes cyberbullying when it is done over Internet, causing anxiety problems, depression and even suicide attempts. For this reason, it is essential to detect this type of behaviour in time. This research deploys a Spanish cyberbullying prevention system (SPC), which relies on Natural Language Processing (NLP) methods and different machine learning techniques (Naive Bayes, Support Vector Machine and Logistic Regression), using Twitter as the basis for the extraction of knowledge bases or corpus. Several precision metrics and variable corpus sizes are used for the training. The learning results reach a maximum accuracy of 93%, verified through the application of three study cases.
Idioma original | Inglés |
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Título de la publicación alojada | IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
ISBN (versión digital) | 9781728131856 |
DOI | |
Estado | Publicada - nov. 2019 |
Evento | 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 - Valparaiso, Chile Duración: 13 nov. 2019 → 27 nov. 2019 |
Serie de la publicación
Nombre | IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 |
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Conferencia
Conferencia | 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 |
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País/Territorio | Chile |
Ciudad | Valparaiso |
Período | 13/11/19 → 27/11/19 |
Nota bibliográfica
Publisher Copyright:© 2019 IEEE.