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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 ...
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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...
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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...
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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...