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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121942


    Title: CyberAid: are your children safe from cyberbullying?
    Authors: Lee Jia Thun;Phoey Lee Teh;Chi-Bin Cheng
    Keywords: Machine language;Cyberbully;Textual analysis;Hate speech;Human computer interface;Mobile application
    Date: 2021-03-11
    Issue Date: 2022-01-13 12:14:04 (UTC+8)
    Publisher: Elsevier BV
    Abstract: Researchers around the world have been implementing machine learning as a method to detect cyberbullying text. The machine is trained using features such as variations in texts, through social media context and interactions in a social network environment. The machine can also identify and profile users through gender or use of hate speech. In this study, we analysed different types of mobile applications that manage cyberbullying. This study proposes a mechanism, which combines the best cyberbullying detection features to fill the gaps and limitations of existing applications. The results of the study have shown that the proposed mobile application records a higher accuracy in detecting cyberbully than other available applications.
    Relation: Journal of King Saud University - Computer and Information Sciences 34, p.4099-4108
    DOI: 10.1016/j.jksuci.2021.03.001
    Appears in Collections:[資訊管理學系暨研究所] 期刊論文

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