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    Article

    Fake review detection techniques, issues, and future research directions: a literature review

    Recently, the impact of product or service reviews on customers' purchasing decisions has become increasingly significant in online businesses. Consequently, manipulating reviews for fame or profit has become ...

    Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe in Knowledge and Information Systems (2024)

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    Graph neural networks for visual question answering: a systematic review

    Recently, visual question answering (VQA) has gained considerable interest within the computer vision and natural language processing (NLP) research areas. The VQA task involves answering a question about an i...

    Abdulganiyu Abdu Yusuf, Chong Feng, **anling Mao in Multimedia Tools and Applications (2024)

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    DHMFRD – TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings

    Recently, there has been an increasing reward to manipulate product/ service reviews, mostly profit-driven, since positive reviews infer high business returns and vice versa. To combat this issue, experts in i...

    Ramadhani Ally Duma, Zhendong Niu, Ally Nyamawe in Multimedia Tools and Applications (2024)

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    Article

    A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings

    Recently, product/ service reviews and online businesses have been similar to the blood–heart relationship as they greatly impact customers’ purchase decisions. There is an increasing incentive to manipulate r...

    Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, Jude Tchaye-Kondi in Soft Computing (2023)