Bibliographic citations
Prieto, G., Montoya, E. (2020). Modelo de detección de violencia contra la mujer en redes sociales en español, utilizando opinion mining [Tesis, Universidad Tecnológica del Perú]. https://hdl.handle.net/20.500.12867/3044
Prieto, G., Montoya, E. Modelo de detección de violencia contra la mujer en redes sociales en español, utilizando opinion mining [Tesis]. PE: Universidad Tecnológica del Perú; 2020. https://hdl.handle.net/20.500.12867/3044
@misc{renati/1696125,
title = "Modelo de detección de violencia contra la mujer en redes sociales en español, utilizando opinion mining",
author = "Montoya Vasquez, Ever Enrique",
publisher = "Universidad Tecnológica del Perú",
year = "2020"
}
Violence against women as such is a growing problem in our society and can be presented in digital text, for example, on social networks. Today there is a wide variety of jobs; focused on the detection of digital texts in the English language, however, in the Spanish language there are few studies that address this issue and even more limited the issue of detection of violence against women by Opinion Mining. The proposal in the following document is a model that helps us detect violence against women in social networks, in the Spanish language. Opinion mining, Document Term Matrix (DTM) techniques are used, such as bag off words, as well as the Naive Bayes (NB), Decision Trees (DT) and Support Vector Machine (SVM) algorithms. In addition, a dataset was assembled by collecting information using the Search Twitter tool and then validated by a specialist (linguist) who in turn validated our key words for this collection of the necessary information.
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