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February 14, 2026Iraqi Journal for Computer Science and MathematicsOpen Access

Expression of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2Vec

Iraqi Journal for Computer Science and Mathematics

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Key Points

The aim is to address concerns related to the use of ontology features in Arabic text augmentation utilizing Word2Vec.
Utilized Word2Vec for generating text augmentations based on ontology features.
Analyzed the impact of text enhancements on natural language processing tasks.
Reviewed the methodology and results of the original study.
Findings highlight the effectiveness of employing ontology features in enhancing Arabic text augmentation.
Concerns raised may impact the reliability of results published in the referenced article.

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Implication

Expression of concern regarding Arabic text augmentation using ontology features and Word2Vec methodology.

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Cite This Study

Iraqi Journal for Computer Science and Mathematics (2026) studied this question.

synapsesocial.com/papers/6a168a340c924ddd1bd58d97 https://doi.org/10.52866/2788-7421.1386

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