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<div><p>The analysis of Arabic Twitter data sets is a highly active research topic, particularly since the outbreak of COVID-19 and subsequent attempts to understand public sentiment related to the pandemic. This activity is partially driven by the high number of Arabic Twitter users, ar...

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Bibliographic Details
Main Author:	Abdelrahman Hamdy (22146220) (author)
Other Authors:	Ayman Youssef (16537653) (author), Conor Ryan (5048645) (author)
Published:	2025
Subjects:	Sociology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified around 164 million also incorporate skip vast data set known data sets word embedding models data collection methods paper provides arab2vec div >< p arabic twitter sources arabic twitter users arabic models data pre essential methods nine models existing models words trained vital tool transforming words subsequent attempts source project recognised words particularly since partially driven nine versions negative sampling makes arab2vec f1 score constructed using considered one cleaning step classification tasks arab2vec </ approximately 186
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