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DOI: 10.14569/IJACSA.2018.090733
PDF

Automatic Cyberbullying Detection in Spanish-language Social Networks using Sentiment Analysis Techniques

Author 1: Rolfy Nixon Montufar Mercado
Author 2: Hernan Faustino Chacca Chuctaya
Author 3: Eveling Gloria Castro Gutierrez

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 7, 2018.

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Abstract: Cyberbullying is a growing problem in our society that can bring fatal consequences and can be presented in digital text for example at online social networks. Nowadays there is a wide variety of works focused on the detection of digital texts in the English language, however in the Spanish language there are few studies that address this issue. This paper aims to detect this cybernetic harassment in social networks, in Spanish language. Sentiment analysis techniques are used, such as bag of words, elimination of signs and numbers, tokenization and stemming, as well as a Bayesian classifier. The data used for the training of the Bayesian classifier were obtained from the Spanish Dictionary of Affect in Language (SDAL), which is a database formed by more than 2500 words manually evaluated in three affective dimensions: Pleasantness, activation and imagery, as well as same 595 words obtained following the same procedure of SDAL was used with the help of the members of the Research Center, Technology Transfer and Software Development. As a result, the software developed has 93% success in the validation tests carried out.

Keywords: Cyberbullying; social media analytics; sentiment analysis; tokenization; stemming; bag of words

Rolfy Nixon Montufar Mercado, Hernan Faustino Chacca Chuctaya and Eveling Gloria Castro Gutierrez, “Automatic Cyberbullying Detection in Spanish-language Social Networks using Sentiment Analysis Techniques” International Journal of Advanced Computer Science and Applications(IJACSA), 9(7), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090733

@article{Mercado2018,
title = {Automatic Cyberbullying Detection in Spanish-language Social Networks using Sentiment Analysis Techniques},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090733},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090733},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {7},
author = {Rolfy Nixon Montufar Mercado and Hernan Faustino Chacca Chuctaya and Eveling Gloria Castro Gutierrez}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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