Detection of Fake Reviews through Machine Learning on Online Shopping Portals

Online shopping is rising activities for people to purchase goods or service without the needs of going to the physical stores. As there is no direct evaluation by testing the goods, online reviews become the indicator for the customers to evaluate whether the items are worth to buy and meeting thei...

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Bibliographic Details
Main Author: Ahmad Zul Kamal, Muhammad Nur Afnan
Format: Final Year Project
Language:English
Published: 2022
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/24527/1/Detection%20of%20Fake%20Reviews%20through%20Machine%20Learning%20on%20Online%20Shopping%20Portals.pdf
http://utpedia.utp.edu.my/id/eprint/24527/
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Summary:Online shopping is rising activities for people to purchase goods or service without the needs of going to the physical stores. As there is no direct evaluation by testing the goods, online reviews become the indicator for the customers to evaluate whether the items are worth to buy and meeting their needs before purchasing the items. The information contained from the review or experience from previous customer is useful toward the customers. However, sellers sought opportunity to increase their sales by creating fake reviews in the shop sections by hiring paid writers or using bot to spam the review section.