@inproceedings{chouikhi-aloui-2025-dialect,
    title = "Dialect-Aware Sentiment Analysis for Ahasis Challenge",
    author = "Chouikhi, Hasna  and
      Aloui, Manel",
    editor = "Alharbi, Maram  and
      Chafik, Salmane  and
      Ezzini, Saad  and
      Mitkov, Ruslan  and
      Ranasinghe, Tharindu  and
      Hettiarachchi, Hansi",
    booktitle = "Proceedings of the Shared Task on Sentiment Analysis for Arabic Dialects",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.ranlp-ahasis.7/",
    pages = "40--45",
    abstract = "This paper presents our approach to Arabic sentiment analysis with a specific focus on dialect-awareness for Saudi and Moroccan (Darija) dialectal variants. We develop a system that achieves a macro F1 score of 77{\%} on the test set, demonstrating effective generalization across these dialect variations. Our approach leverages a pre-trained Arabic language model (Qarib) with custom dialect-specific embeddings and preprocessing techniques tailored to each dialect. The results show a significant improvement over baseline models that do not incorporate dialect information, with an absolute gain of 5{\%} in F1 score over the equivalent non-dialect-aware model. Our analysis further reveals distinct sentiment expression patterns between Saudi and Darija dialects, highlighting the importance of dialect-aware approaches for Arabic sentiment analysis."
}