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    ARTICLE

    Computational Linguistics with Optimal Deep Belief Network Based Irony Detection in Social Media

    Manar Ahmed Hamza1,*, Hala J. Alshahrani2, Abdulkhaleq Q. A. Hassan3, Abdulbaset Gaddah4, Nasser Allheeib5, Suleiman Ali Alsaif6, Badriyya B. Al-onazi7, Heba Mohsen8

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4137-4154, 2023, DOI:10.32604/cmc.2023.035237

    Abstract Computational linguistics refers to an interdisciplinary field associated with the computational modelling of natural language and studying appropriate computational methods for linguistic questions. The number of social media users has been increasing over the last few years, which have allured researchers’ interest in scrutinizing the new kind of creative language utilized on the Internet to explore communication and human opinions in a better way. Irony and sarcasm detection is a complex task in Natural Language Processing (NLP). Irony detection has inferences in advertising, sentiment analysis (SA), and opinion mining. For the last few years, irony-aware SA has gained significant computational… More >

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