Transcription of Fake Reviews Detection using Supervised Machine Learning
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Fake Reviews Detection using Supervised Machine Learning
(IJACSA) International Journal of Advanced Computer Science and Applications,Vol. 12, No. 1, 2021 Fake Reviews Detection using Supervised MachineLearningAhmed M. Elmogy1, Usman Tariq2, Atef Ibrahim4 College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz University, KSA1,2,4 Faculty of Eng.,Tanta Universiy,Egypt1 Ammar Mohammed3 Department of Computer ScienceMisr International University, EgyptFaculty of Graduate Studies of Statistical ResearchCairo University, EgyptAbstract With the continuous evolve of E-commerce systems,online Reviews are mainly considered as a crucial factor forbuilding and maintaining a good reputation. Moreover, theyhave an effective role in the decision making process for endusers.
Keywords—Fake reviews detection; data mining; supervised machine learning; feature engineering I. INTRODUCTION Nowadays, when customers want to draw a decision about services or products, reviews become the main source of their information. For example, when customers take the initiation to book a hotel, they read the reviews on the opinions ...
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