Detection of Online Fake Review in E-Commerce

DOI

No DOI

Published In

Volume 3, Issue 3 (2022)

Published Online

May-June 2022

Pages

278-282

Article Type

Research Article

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Abstract: The effect of critiques on any e-commerce website is of excellent importance, as it can be the base for a buyer's choice to purchase any product. Buyer tries to consider the authenticity and first-rate of the product the usage of the comments given by using different previous buyers in the structure of review. But, marketers are taking gain of the opinions by posting critiques in an strive to promote or defame a product. Such critiques which are no longer a proper opinion of an character are termed as pretend reviews. The existence of such faux evaluations makes he purchaser unable to make the proper judgments of sellers, which can additionally purpose the credibility of the platform to be downgraded. Thus, it is very essential to perceive the pretend critiques on the platform. In this paper, we propose a technique to notice such faux opinions the usage of a logistic regression mannequin by considering ver view centric elements accomplishing an typical accuracy of Also, our study illustrates the have an effect on of the “verified purchase” characteristic in pretend overview classification. Online critiques play a very vital function for decision-making in contemporary ecommerce. Large components of the population, i.e. clients study product or save reviews before figuring out what to purchase or the place to purchase and whether or not to purchase or not. Because writing faux / fraudulent opinions comes with financial gain, on line evaluate websites there has been a large make bigger in elaborate opinion spam. Basically, an untruthful review is a faux evaluate or fraudulent overview or opinion spam. Positive critiques of a target object can entice extra clients and amplify sales; poor critiques of a target object can end result in decrease demand and decrease sales. Fake assessment detection has attracted massive interest in latest years. Most evaluation sites, however, nonetheless do not filter faux critiques publicly.