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. Usually, a positive review for a target object attractsmore customers and lead to high increase in sales.
features engineering to extract various behaviors of the review-ers. Some new behavioral features are created. The created features are used as inputs to the proposed system besides the textual features for fake reviews detection task. III. BACKGROUND Machine learning is one of the most important techno-
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