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Abstract In order to detect COVID-19 from Arabic tweets, we used five machine learning algorithms which are Support Vector Machine, Decision Tree, Multinomial Naive Bayes, Random Forest, and Voting Classifier. We have collected and analysed COVID-19 tweets written in the Arabic language. We used the Hold Out method with different test sizes to split the dataset into training and testing datasets. The obtained results show that the Voting Classifier is the best classifier with a 94.25% accuracy in the test size of 0.5 for the detection of COVID-19 from Arabic tweets.
Dergi Türü : Uluslararası
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