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Cyberbullying detection in Roman Urdu language using lexicon based approach

Talpur, Kazim Raza and Yuhaniz, Siti Sophiayati and Amir Sjarif, Nilam Nur and Ali, Bandeh (2020) Cyberbullying detection in Roman Urdu language using lexicon based approach. Journal of Critical Reviews, 7 (16). pp. 834-848. ISSN 2394-5125

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Official URL: http://dx.doi.org/10.31838/jcr.07.16.109


Nowadays, online social networks (OSNs) have become integral part of our daily life and online users of social media are massively growing. The increasing use of OSNs by users leads to large amount of user communication data. This study focuses on OSNs users who communicate in Roman Urdu (Urdu language written in English alphabets). Pakistan alone has over 44 million OSNs users who communicate in Roman Urdu. In this paper, we addressed the issue of cyberbullying behavior on Twitter platform, where users use Roman Urdu as medium of their communication. To the best of our knowledge, this is the first study addressing cyberbullying behavior in Roman Urdu. To address this issue, we developed supervised machine learning method and proposed a lexicon-based model with set of features derived from Twitter. An evaluation model shows that the developed model attained results with area under receiver operating characteristics curve (AUC) of 0.986 and f-measure of 0.984. These results indicate that the proposed lexicon-based method gives feasible solution for detecting cyberbullying behavior in Roman Urdu in OSNs. Finally, we compared results achieved with our proposed lexicon-based method and the results obtained from other well-known models. The comparison results show the significance of our proposed model.

Item Type:Article
Uncontrolled Keywords:Cyberbullying, Roman Urdu
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90330
Deposited By: Widya Wahid
Deposited On:30 Apr 2021 22:31
Last Modified:30 Apr 2021 22:31

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