fake product review

Fake Product Review Monitoring and Removal Using Opinion Mining in PHP

As most people require reviews about a product before spending their money, they often come across various reviews on websites. However, users cannot always determine whether these reviews are genuine or fake. Some companies employ Social Media Optimization (SMO) teams to post positive reviews about their own products, misleading potential buyers. To address this issue, the Fake Product Review Monitoring and Removal Using Opinion Mining system is introduced. This system identifies fake reviews made by SMO teams by tracking IP addresses.

Users log into the system using their credentials, browse products, and post reviews. The system detects whether a review is fake by analyzing the IP addresses of users. If multiple fake reviews originate from the same IP address, the system alerts the admin to remove those reviews. This approach, utilizing data mining techniques, ensures that users receive genuine reviews about products.

System Workflow:

• The admin adds products to the system.
• The admin deletes fake reviews identified by the system.
• Users can browse products and post reviews.
• The system tracks user IP addresses.
• If repeated fake reviews come from the same IP address, the system flags them for admin review and removal.

Modules: The system comprises two major modules with their sub-modules:

1. Admin Module:

   • Admin Login: Admin logs in using credentials.
   • Add Product: Admin adds products to the system.
   • Delete Review: Admin removes fake reviews flagged by the system.

2. User Module:

   • User Login: Users log in using their credentials.
   • View Product: Users browse available products.
   • Post Review: Users post reviews about products.
   • Track IP Address: The system monitors IP addresses to detect fake reviews and notifies the admin for review removal.

Software Requirements:

• Windows 7 or higher
• WAMP Server
• Notepad++
• MySQL 5.6

Hardware Requirements:

• Processor: Dual Core
• Hard Disk: 50 GB
• Memory: 1GB RAM

Advantages:

• Users receive genuine reviews about products.
• Users can post their own reviews.
• Helps users make informed purchasing decisions.

Disadvantages:

• If SMO teams use different IP addresses to post fake reviews, the system may fail to track them.

Application: This application benefits users who want to ensure they spend their money on valuable and authentic products.