An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation

The misleading information during the coronavirus disease 2019 (COVID-19) pandemic’s peak time is very sensitive and harmful in our community. Analyzing and detecting COVID-19 information on social media are a crucial task. Early detection of COVID-19 information is very helpful and minimizes the ri...

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Veröffentlicht in:	International journal of intelligent systems 2024-05, Vol.2024, p.1-15
Hauptverfasser:	Muaad, Abdullah Y., Raza, Shaina, Heyat, Md Belal Bin, Alabrah, Amerah, J., Hanumanthappa
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Coronaviruses COVID-19 Datasets False information Hate speech Learning Performance evaluation Recall Social networks Viral diseases
Online-Zugang:	Volltext
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