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Article

Classification of Cyber-Aggression Cases Applying Machine Learning

1
Cátedras CONACYT Consejo Nacional de Ciencia y Tecnología, Ciudad de México 08400, Mexico
2
Instituto Nacional de Cardiología Ignacio Chávez, Ciudad de México 14080, Mexico
3
División Académica de Informática y Sistemas, Universidad Juárez Autónoma de Tabasco, Cunduacán, Tabasco 86690, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(9), 1828; https://doi.org/10.3390/app9091828
Received: 26 March 2019 / Revised: 17 April 2019 / Accepted: 26 April 2019 / Published: 2 May 2019
(This article belongs to the Special Issue Sentiment Analysis for Social Media)
The adoption of electronic social networks as an essential way of communication has become one of the most dangerous methods to hurt people’s feelings. The Internet and the proliferation of this kind of virtual community have caused severe negative consequences to the welfare of society, creating a social problem identified as cyber-aggression, or in some cases called cyber-bullying. This paper presents research to classify situations of cyber-aggression on social networks, specifically for Spanish-language users of Mexico. We applied Random Forest, Variable Importance Measures (VIMs), and OneR to support the classification of offensive comments in three particular cases of cyber-aggression: racism, violence based on sexual orientation, and violence against women. Experimental results with OneR improve the comment classification process of the three cyber-aggression cases, with more than 90% accuracy. The accurate classification of cyber-aggression comments can help to take measures to diminish this phenomenon. View Full-Text
Keywords: cyber-aggression; sentiment analysis; random forest; racism; violence based on sexual orientation; violence against women; social networks cyber-aggression; sentiment analysis; random forest; racism; violence based on sexual orientation; violence against women; social networks
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MDPI and ACS Style

Gutiérrez-Esparza, G.O.; Vallejo-Allende, M.; Hernández-Torruco, J. Classification of Cyber-Aggression Cases Applying Machine Learning. Appl. Sci. 2019, 9, 1828. https://doi.org/10.3390/app9091828

AMA Style

Gutiérrez-Esparza GO, Vallejo-Allende M, Hernández-Torruco J. Classification of Cyber-Aggression Cases Applying Machine Learning. Applied Sciences. 2019; 9(9):1828. https://doi.org/10.3390/app9091828

Chicago/Turabian Style

Gutiérrez-Esparza, Guadalupe O.; Vallejo-Allende, Maite; Hernández-Torruco, José. 2019. "Classification of Cyber-Aggression Cases Applying Machine Learning" Appl. Sci. 9, no. 9: 1828. https://doi.org/10.3390/app9091828

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