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What is Arabic Tweet Classification Techniques about?

This paper presents a method for classifying Arabic tweets into five categories using various machine learning classifiers, including Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), and Random Forest (RF). The study addresses challenges in short text classification, particularly due to the ambiguity and lack of diacritical markings in Arabic, and utilizes a dataset of approximately 35,600 manually annotated tweets. The results indicate that the RF and SVM classifiers achieved macro-F1 scores betwe

Author

aishaalimoustafa20221

Language

EN