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Fake Review Detecction Synopsis

This system aims to identify and remove fake product reviews posted by marketing teams to promote their products. It does this by tracking IP addresses and flagging reviews from the same IP if they are deemed fake. The system allows users to view products, post reviews, and see only genuine reviews. An admin can add and remove products and delete reviews identified as fake based on repetitive IP addresses. It uses PHP and tracks IP addresses to filter fake reviews from genuine user feedback.

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sachin mohan
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162 views3 pages

Fake Review Detecction Synopsis

This system aims to identify and remove fake product reviews posted by marketing teams to promote their products. It does this by tracking IP addresses and flagging reviews from the same IP if they are deemed fake. The system allows users to view products, post reviews, and see only genuine reviews. An admin can add and remove products and delete reviews identified as fake based on repetitive IP addresses. It uses PHP and tracks IP addresses to filter fake reviews from genuine user feedback.

Uploaded by

sachin mohan
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOC, PDF, TXT or read online on Scribd
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Fake Product Review Monitoring and Removal for

Genuine Product Reviews Using Opinion Mining PHP

As most of the people require review about a product before spending their
money on the product. So people come across various reviews in the website but
these reviews are genuine or fake is not identified by the user. In some review
websites some good reviews are added by the product company people itself in
order to make product famous this people belong to Social Media Optimization
team. They give good reviews for many different products manufactured by their
own firm. User will not be able to find out whether the review is genuine or fake.
To find out fake review in the website this “Fake Product Review Monitoring and
Removal for Genuine Online Product Reviews Using Opinion Mining” system is
introduced. This system will find out fake reviews made by the social media
optimization team by identifying the IP address. User will login to the system
using his user id and password and will view various products and will give review
about the product. To find out the review is fake or genuine, system will find out
the IP address of the user if the system observe fake review send by the same IP
Address many at times it will inform the admin to remove that review from the
system. This system uses data mining methodology. This system helps the user to
find out correct review of the product.

System works as follows: -


 Admin will add products to the system.
 Admin will delete the review which is fake.
 User once access the system, user can view product and can post review
about the product.
 System will track the IP address of the user.
 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.

 Modules:

The system comprises of 2 major modules with their sub-modules as follows:

1. Admin Login: Admin login to the system using his admin ID and password.
 Add product:
- Admin will add product to the system.
 Delete Review:
- Admin will remove the review which tracked by the system as
fake.
2. User Login: User will login to the system using his user ID and password.
 View product:
- User will view product.
 Post Review:
- User can post review about the product.
 Tracks IP Address:
- If the system finds a review is fake it will inform the admin to
remove the fake review.

 Software Requirements:

 Windows 7 or higher
 XAMPP Server
 Sublime text
 My SQL 5.6
 Hardware Components:

 Processor – Dual Core


 Hard Disk – 50 GB
 Memory – 1GB RAM

 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.

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