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    ARTICLE

    Battle Royale Optimization with Fuzzy Deep Learning for Arabic Sentiment Classification

    Manar Ahmed Hamza1,*, Hala J. Alshahrani2, Jaber S. Alzahrani3, Heba Mohsen4, Mohamed I. Eldesouki5, Mohammed Rizwanullah1

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2619-2635, 2023, DOI:10.32604/csse.2023.034519

    Abstract Aspect-Based Sentiment Analysis (ABSA) on Arabic corpus has become an active research topic in recent days. ABSA refers to a fine-grained Sentiment Analysis (SA) task that focuses on the extraction of the conferred aspects and the identification of respective sentiment polarity from the provided text. Most of the prevailing Arabic ABSA techniques heavily depend upon dreary feature-engineering and pre-processing tasks and utilize external sources such as lexicons. In literature, concerning the Arabic language text analysis, the authors made use of regular Machine Learning (ML) techniques that rely on a group of rare sources and tools. These sources were used for… More >

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