Identifying Fake Online Reviews for Genuine Product Recommendations
Online reviews play a crucial role in decision-making, but they are often flooded with fake reviews. This system aims to detect and remove fake reviews by tracking IP addresses of users to ensure genuine feedback. With features for users to share authentic reviews and admins to maintain product integrity, this system provides a valuable solution for those seeking reliable product information.
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Presentation Transcript
INTRIDUCTION Online reviews have become an increasingly important resource for decision making and product designing. But reviews systems are often targeted by opinion spamming. Although fake review detection has been studied by researchers for years using supervised learning, ground truth of large scale datasets is still unavailable and most of existing approaches of supervised learning are based on pseudo fake reviews rather than real fake reviews.
Problem statement To find out fake review in the website this Fake Product Review Monitoring and Removal for Genuine Online Product Reviews Using Opinion Mining .
EXISTING SYSTEM User doesn t gets genuine reviews about the product in existing system.
PROPOSED SYSTEM This system will find out fake reviews made by the social media optimization team by identifying the IP address.
Modules 1.USER: User once access the system, user can view product and can post review about the product. 2.ADMIN: Admin will add products to the system. Admin will delete the review which is fake. 3.TRACK IP ADDRESS System will track the IP address of the user.
SYSTEM WORK AS If the system observes fake review coming from same IP address many a times this IP address will be tracked by the system and will inform the admin to remove this review from the system.
Advantages:- User gets genuine reviews about the product. User can post their own review about the product. User can spend money on valuable products.
Disadvantages:- If the social media optimization team uses different IP address to send the review, system will fail to track the fake review.
Application:- This application will be used by the people who like to spend their money on valuable products
conclution This system helps the user to find out correct review of the product.
