Fake Product Review Monitoring and Sentiment Analysis

The "Fake Product Review Monitoring and Sentiment Analysis " system allows a user to distinguish between a fake and genuine review of a product before purchasing it. Most people require review about a product before spending their money on the product. People come across various reviews on the

Project Title

Fake Product Review Monitoring and Sentiment Analysis

Project Area of Specialization

Artificial Intelligence

Project Summary

The "Fake Product Review Monitoring and Sentiment Analysis " system allows a user to distinguish between a fake and genuine review of a product before purchasing it. Most people require review about a product before spending their money on the product. People come across various reviews on the website but it cannot be identified by the user that these reviews are genuine or fake. In some review websites some good reviews are added by the product company people itself in order to produce false positive product reviews. To find out such fake reviews on the website this system is introduced. A  customer can login to the system and can give a review about the product. To find out fake reviews the purposed system uses TRS Algorithm and concordance Algorithm along with performing sentiment Analysis. The system can track the IP address of the user along with review posting patterns. If the system observes a fake review coming from the same IP Address the system automatically blocks the user.

Project Objectives

The aim and objectives of the project are 

• to identify fake reviews and automatically block the user using Concordance Algorithm.
• to use the Trust Reputation System to track IP Address. 
• to generate trust degree of every user using TRS Algorithm.
• to recommend products based on ratings and positive reviews. 
• to perform sentiment analysis. 

Project Implementation Method

This system uses data mining methodology. Initially, the user gives rating and textual feedback on any product based on his/her experience. After that the concordance algorithm is applied on ratings and textual feedback which verifies the concordance between the ratings given by the user and textual feedback. This procedure presents and eliminates any contradiction. After that TRS Algorithm works which generates the trust degree of the user based on the user’s opinion of like or dislike of pre-fabricated feedbacks. The system also tracks the IP address of the user. If the system notices more than one comment coming from same IP, it automatically blocks the user.

Benefits of the Project

Nowadays people need authentic reviews about a product.The system helps the user to find out authentic review about the product before spending their money by using Trust Reputation System, concordance algorithm, IP address tracking and sentiment analysis. Trust Reputation System (TRS) is solicited in e-commerce applications to create trustworthiness among a group of participants. Users believe in their common interest, which is to know about the trustworthiness of the transaction and product.

Technical Details of Final Deliverable

1. Application

          Web based application developed in Asp.net.

Final Deliverable of the Project

Software System

Type of Industry

IT , Others

Technologies

Artificial Intelligence(AI), Big Data

Sustainable Development Goals

Industry, Innovation and Infrastructure, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com