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Hybrid BERT-XGBoost Framework for Early Detection and Classification of Online Cyberbullying across Social Media.

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Bibliographic Details
Title: Hybrid BERT-XGBoost Framework for Early Detection and Classification of Online Cyberbullying across Social Media.
Authors: Shishakly, Rima1, Bayoud, Abdelhadi Mohammad2, Mobaydat@kfu.edu.sa, Obeidat, Mansour3, Edrees, Hussein4
Source: Journal of Cyber Security & Risk Auditing; 2026, Vol. 2026 Issue 2, p281-305, 25p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195660651
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Hybrid BERT-XGBoost Framework for Early Detection and Classification of Online Cyberbullying across Social Media.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cyber+Security+%26+Risk+Auditing%22">Journal of Cyber Security & Risk Auditing</searchLink>; 2026, Vol. 2026 Issue 2, p281-305, 25p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.63180/jcsra.thestap.2026.2.8
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 281
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      – TitleFull: Hybrid BERT-XGBoost Framework for Early Detection and Classification of Online Cyberbullying across Social Media.
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            NameFull: Shishakly, Rima
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            NameFull: Bayoud, Abdelhadi Mohammad
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            NameFull: Obeidat, Mansour
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              Text: 2026
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              Y: 2026
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              Value: 2026
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              Value: 2
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            – TitleFull: Journal of Cyber Security & Risk Auditing
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