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Removal of Fake Product-Review using Opinion Mining




Shopping Website, Php, Python, HTML, CSS, Review Monitoring, Opinion Spam Analysis, Genuine Product rate


With the large number of population comes diversity in the generation, and with large diversity in the generation comes varied opinions and perspectives. In every business including E-commerce, maintaining customer relationship is an essential part for success. Consumer to Business(C2B) is an indispensable E-Commerce activity which helps in maintaining good relationship with existing customers/clients and also helps in attracting new customers. In this day and age, surveys on online sites assume a fundamental job in offers of the item since individuals attempt to get every one of the advantages and disadvantages of any item before they get it as there are a wide range of alternatives for a similar item. An opinion matters a lot especially buying a product online. There can be various makes for a similar sort of item or there may be distinction in merchants that can give the item or there may be some distinction in the methodology that is taken while purchasing the item. Hence, the audits are legitimately identified with the offers of the item and hence it vital for the online sites to spot counterfeit surveys as its their very own notoriety that comes into thought. People have a tendency to to buy products with a positive review and are not inclined towards the negative ones. Henceforth, a Fake Review Detection is utilized to recognize any false going on in light of the fact that it i s impractical for them to confirm each item and deal physically. A program comes into the image that endeavors to distinguish any example in the audits given by the clients. It displays the genuine products so that it is easy for consumers to judge upon it.

Other Details

Paper ID: IJSRDV7I30569
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 661-663

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