Fake Product Review Monitoring and Removal for
Genuine Online Product Reviews Using Opinion Mining
Objective
The objective of paper named Fake Product Review Monitoring and Removal for Genuine Online Product Reviews Using Opinion Mining helps to identify the cheating in reviews about product. Data mining mechanisms has been used to find out the fake reviews.
Project Overview
Now day’s human life is fully enclosed with various busy activities. As compared to ancient days, people are doing many works but it is found that it is digitally based. Today, people are like to do their needs in very easy ways. Because everyone is surrounds by the busy environment. For instance, even humans have no time to purchase the products that they want by directly visiting the shop. People around the world were looking for simpler technology that paves a way for door step purchasing. This door step based purchasing will decreases the direct visiting of shop to purchase. Thus it increases the usage of this system among the people. The proposed system introduced the e-commerce website which helps the customers to take over their purchasing. In e-commerce websites, every user has their unique profile in order to place a unique order. In that user will search for the products and can view the reviews for those products. These reviews will help the buyers to ensure the quality of product and helps them to choose the best one. But the truth is that this review for every product could not helpful for customers to choose the right one. Because those reviews might be fake one which was not sure in last few years. This result in to development of a system named fake product review monitoring and removal to find out the fake reviews using data mining algorithms.
Proposed Fake Product Review Monitoring
The proposed Fake Product Review Monitoring system brings out the technology which helps to find out the review that made for product is true or not. The reason for introducing this Monitoring and removing system is to purchase the required products in a best manner. Because fake reviews also been added by owner or seller of that particular product. Users or customers of the product cant able to find these types of reviews. So proposed system would identify the fake kind of reviews based on the IP address of users. Firstly, the user will log in to their account and will do purchase the products as they wants. While reviews are added by users, the IP address is made to be noted. If many reviews are received from same IP address, that would be intimated to administrator. Then the administrator is allowed to remove those reviews that are added in fake manner. This process of tracking the IP address has been taking over by data mining technologies. Finally this methodology helps to identify the correct review. Using the trustworthy reviews one can able to buy the best and wishful products. Providing good products enhance the good reviews and better sales. This system also paves a way to bring out the best turnover for the sellers.
Software Requirements
- Windows and above
- SQL
- Visual studio 2010
Hardware Requirements
- Processor – i3
- Hard Disk – 5 GB
- Memory – 1GB RAM
Technology Used
- Data Mining
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