Saudi Cultural Missions Theses & Dissertations

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    Saudi Dialect Sentiment Analysis: A Hybrid Approach and Evaluation on Real-World Consumer Reviews
    (Saudi Digital Library, 2026) Alsemaree, Ohud; Singh Gill, Sukhpal
    This thesis presents a hybrid sentiment analysis framework for the Saudi dialect, addressing the limited availability of linguistic resources and annotated datasets for Arabic sentiment analysis. The proposed approach combines lexicon-based methods with machine learning and deep learning techniques to improve sentiment classification performance. A Saudi dialect sentiment lexicon (LSAnArTe) and a large-scale annotated dataset were developed to support the research. Experimental results demonstrate that the hybrid framework outperforms baseline models, achieving high classification accuracy and providing valuable resources for future research in Arabic Natural Language Processing and sentiment analysis.
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