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August 8, 2026ACM Transactions on Asian and Low-Resource Language Information ProcessingOpen Access

ArabicOpinion: A Five-Dimensional Multi-Granular Evaluation Framework for Arabic Opinion Summarization

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Authors

BABayan AldashnanAAAbdulrahman AlothaimAAAhmed Alsanad

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Overview

Evaluation framework assesses Arabic opinion quality across dimensions, suggesting improved methodologies.

Key Points

  • The aim is to develop a standardized evaluation framework for Arabic opinion summarization.
  • Introduced a multi-granular evaluation framework assessing five dimensions: relevance, faithfulness, sentiment preservation, abstractiveness, and genericity.
  • Evaluated using large-scale benchmark with models like GPT-4o, Claude, and JAIS.
  • Developed automated metrics that align with human evaluations.
  • Opinion-level Matryoshka embeddings yielded the highest scores for relevance and faithfulness.
  • AraBERT-Restaurant-Sentiment achieved the best sentiment preservation accuracy.
  • Automated metrics demonstrated strong correlation with human judgments.

Cite This Study

Aldashnan et al. (2026) studied this question.

synapsesocial.com/papers/6a76dad9f12abadc798158echttps://doi.org/10.1145/3838729
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