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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Format: | Final Year Project |
Language: | English |
Published: |
2022
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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. |
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