Fake product review monitoring & removal for genuine ratings
ABSTARCT :
Online product review on shopping experience in social media has promoted user to provide feedback. Nowadays, many e-commerce sites allow the customer to write their review or opinion on the product which they have bought from that site.
The review given by the customer can build the good name of the product or make the product famous. Due to this reason, in some product the customer reviews about the product are included by the item organization individuals itself so as to make so as to deliver false positive item reviews and also one can demote a product by giving the false negative review about the product.
This project aims to develop a fake product review monitoring system that can classify product reviews as genuine or fake using machine learning algorithms. The system will collect product reviews from various sources, including online marketplaces, social media, and review websites.
Online product review on shopping experience in social media has promoted user to provide feedback. Nowadays, many e-commerce sites allow the customer to write their review or opinion on the product which they have bought from that site.
The review given by the customer can build the good name of the product or make the product famous. Due to this reason, in some product the customer reviews about the product are included by the item organization individuals itself so as to make so as to deliver false positive item reviews and also one can demote a product by giving the false negative review about the product.
This project aims to develop a fake product review monitoring system that can classify product reviews as genuine or fake using machine learning algorithms. The system will collect product reviews from various sources, including online marketplaces, social media, and review websites.
EXISTING SYSTEM :
Today most of the people spend their time onto the websites of online shopping portals for making some purchases. Before they place any order they go through the reviews that is being posted for that product.
According to the survey taken it is shown that nearly 30% of the people examine the reviews of the product with the reviews of the other product in order to acquire a consistent and an honest product.
About 50% of the people look upon the rankings of the product they wish to purchase and more than 80% of the people depend on the reviews posted for that particular product before they make a purchase.
So it is clear that every person give importance to the reviews posted by each other in the online websites. With the help of those posted reviews they decide whether to place an order or not.
A reality is that if the customer or a user’s gets the real standard impact of the product through thinking about their present influence of those product, it is high feasible that they are going to truly buy the product. If the general impact is not right, then it might be an unsure one that they won’t be purchasing the product.
DISADVANTAGE :
Genuine Reviews May Be Removed: Sometimes, genuine reviews might be mistakenly flagged or removed during the review monitoring process. A review that provides a negative but honest experience could be taken down if it is perceived as violating guidelines, which could lead to unfair representation of a product.
Time-Consuming: Monitoring reviews requires a significant amount of time and effort to sift through thousands of feedbacks. It requires staff or automated systems to analyze reviews, identify fake ones, and take appropriate action. This can be a resource-intensive task.
Moderation Systems Can Be Biased: Automated systems or even human moderators can introduce biases into the review removal process. These systems might prioritize certain types of reviews over others based on keywords, sentiment, or review frequency, which could skew the overall rating of a product unfairly.
Alienating Customers: If genuine negative experiences are removed, customers may feel their voices are not being heard, leading to a loss of customer loyalty. Negative reviews can sometimes offer constructive criticism that helps improve the product.
PROPOSED SYSTEM :
As most of the people need an overview of the product before spending their money on that product. Therefore humans encounter diverse opinions inside the website however those evaluations are real or faux is not always diagnosed with the aid of the consumer.
They supply top opinions for a plenty of extraordinary products which are manufactured by their personal company. So the person who is reviewing the comments may find it difficult to distinguish between the genuine reviews and the faux reviews.
In order to discover faux evaluation inside the portal this system was delivered. This application will discover faux reviews posted through their IP address onto the social media group.
The person who is willing to buy a product may enter into the system using their user identification and a valid password and they can view a variety of products available in the portal and also they could post review about that product. As the customers are reviewing they need to provide the e-mail identity from which they are reviewing.
ADVANTAGE :
Authenticity of Reviews: By removing fake or misleading reviews, businesses ensure that only genuine customer feedback remains. This helps maintain the authenticity of product ratings, fostering trust among potential customers who rely on reviews to make purchasing decisions.
Elimination of Manipulative Practices: Fake reviews, both positive and negative, can distort the perception of a product's quality. Monitoring and removal processes help to protect products from fraudulent reviews that are intended to manipulate ratings and mislead consumers.
Accurate Product Insights: With only genuine reviews available, consumers can make better-informed purchasing decisions. They can rely on the feedback from real customers who have used the product, leading to a more transparent and helpful review system.
Valuable Feedback: Genuine reviews provide businesses with valuable insights into what customers like or dislike about a product. By monitoring reviews and removing irrelevant or fake ones, businesses can focus on actionable, constructive feedback to improve product quality and customer satisfaction.
|