DATA AUGMENTATION FOR ARABIC TEXT CLASSIFICATION: A REVIEW OF CURRENT METHODS, CHALLENGES AND PROSPECTIVE DIRECTIONS

Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions

The effectiveness of data augmentation techniques, i.e., methods for artificially creating new data, has been demonstrated in many domains, from images to textual data.Data augmentation methods were established to manage different issues regarding the scarcity of training datasets or the class imbalance to enhance the performance of classifiers.Thi

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(3aS,7aS)-5-[(S)-3,3,3-Trifluoro-2-methoxy-2-phenylpropanoyl]-2,3,4,5,6,7-hexahydro-1H-pyrrolo[3,4-c]pyridin-3(2H)-one monohydrate

rac-Benzyl 3-oxohexahydro-1H-pyrrolo[3,4-c]pyridine-5(6H)-carboxylate was separated by chiral chromatography, and one of the enantiomers ([α]22D = +10°) was hydrogenated in the presence of Pd/C in methanol, producing octahydro-3H-pyrrolo[3,4-c]pyridin-3-one.The latter was reacted with (2R)-3,3,3-trifluoro-2-methoxy-2-phenylpropano

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