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%.