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Fake Review Detection using Deep Learning
2023In recent times online shopping has evolved rapidly, but finding a quality product in such a complex network is not a simple task. Internet reviews help users to find relevant items. But there is a high magnitude of fake internet reviews available online.
Sangeetha S +5 more
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Linguistic Features for Detecting Fake Reviews
2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020Online reviews play an integral part for success or failure of businesses. Prior to purchasing services or goods, customers first review the online comments submitted by previous customers. However, it is possible to superficially boost or hinder some businesses through posting counterfeit and fake reviews.
Faranak Abri +4 more
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Fake reviews detection based on LDA
2018 4th International Conference on Information Management (ICIM), 2018It is necessary for potential consume to make decision based on online reviews. However, its usefulness brings forth a curse - deceptive opinion spam. The deceptive opinion spam mislead potential customers and organizations reshaping their businesses and prevent opinion-mining techniques from reaching accurate conclusions.
Shaohua Jia +3 more
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Detection of fake online hotel reviews
2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017Individuals use online reviews to make decisions about available products and services. In recent years, businesses and the research community have shown a great amount of interest in the identification of fake online reviews. Applying accurate algorithms to detect fake online reviews can protect individuals from spam and misinformation.
Anna V. Sandifer +2 more
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Review of Fake Product Review Detection Techniques
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022B V Santhosh Krishna +5 more
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Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India, 2023
Tabasum Majeed +3 more
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Tabasum Majeed +3 more
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Data Augmentation for Fake Reviews Detection
Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings, 2023Ming Liu, Massimo Poesio
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Deepfakes and beyond: A Survey of face manipulation and fake detection
Information Fusion, 2020Ruben Tolosana +2 more
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