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February 6, 2026International Journal of Advanced Computer Science and ApplicationsOpen Access

From Accuracy to Insight: Explainability in Review Rating Prediction with Transformers

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Authors

DRDhefaf T. RadainDADimah AlahmadiAWArwa M. Wali

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Overview

Demonstrates accurate rating predictions in mobile app reviews using transformer models, suggesting improved stakeholder trust through explainability.

Key Points

  • The aim is to improve the explainability of rating predictions for mobile app reviews, particularly in Arabic.
  • Developed a rating prediction explainability (RPE) framework combining transformer-based and explainability models.
  • Utilized transformer models ELECTRA and AraBERTv2 for rating predictions in English and Arabic reviews.
  • Employed SHAP and LIME for local explainability and visualization of prediction results.
  • Achieved 96% accuracy and F1 score for English reviews and 95% for Arabic reviews using transformer models.
  • Predictions were justified with consistent explanations across different models, highlighting similar influential words.

Cite This Study

Radain et al. (2026) studied this question.

synapsesocial.com/papers/698585758f7c464f23008cb4https://doi.org/10.14569/ijacsa.2026.0170194
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  1. 1Explainability in Transformer-Based Sentiment Analysis: A Survey of Methods, Applications, and Open Challenges2026
  2. 2Explainable Turkish E-Commerce Review Classification Using a Multi-Transformer Fusion Framework and SHAP Analysis2026 · 1 citations
  3. 3EvoDropX: Evolutionary optimization of feature corruption sequences for faithful explanations of transformer models2026
  4. 4Applied Explainability for Large Language Models: A Comparative Study2026
  5. 5Harnessing Transformers for Enhancing Arabic Educational Assessment2025