@inproceedings{alfugaha-al-smadi-2025-hybrid,
    title = "A Hybrid Transformer-Based Model for Sentiment Analysis of {A}rabic Dialect Hotel Reviews",
    author = "Alfugaha, Rawand  and
      AL-Smadi, Mohammad",
    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.10/",
    pages = "62--68",
    abstract = "This paper describes the AraNLP system developed for the ``Ahasis'' shared task on sentiment detection in Arabic dialects for hotel reviews. The task involved classifying the overall sentiment of hotel reviews (Positive, Negative, or Neutral) written in Arabic dialects, specifically Saudi and Darija. Our proposed model, AraNLP, is a hybrid deep learning classifier that leverages the strengths of a transformer-based Arabic model (AraELECTRA)augmented with classical bag-of-words style features (TF-IDF). Our system achieved an F1-score of 76{\%}, securing the 5th rank in the shared task, significantly outperforming the baseline system{'}s F1-score of 56{\%}."
}