Table 2 Comparison of Arabic Text Data Augmentation Techniques.

Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis⁵⁸

A transformation rule-based data augmentation technique for Arabic textual datasets was created after carefully examining Arabic morphology and syntax.

Yes

No

No

Yes

Data augmentation techniques on arabic data for named entity recognition⁵⁹

A technique for data augmentation to enhance Named Entity Recognition (NER) code-switching (CS) results for Arabic data.

Yes

No

No

Yes

Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification⁴²

A novel Arabic DA method that uses the AraGPT-2 for enhancing the augmentation process.

Yes

No

Yes

No

A two‑stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT¹⁹

A two-stage framework for the automated detection of misinformation in Arabic text.

Yes

No

No

No

Our proposed Technique

A novel approach for enriching Arabic textual data using the capabilities of Contemporary Large Language Transformer-based models (LLMs) for both augmentation and classification tasks

Yes

Yes

Yes

Yes