Fraud Feedback Detection using Machine Learning Technique

Abstract

In the era of e-commerce, people often purchase the most of product from online shopping websites, customers rely on the number of reviews and stars of product to choose the right product for them. Fraud companies also pay to fraudsters to increase the rating of product, this tends to mislead the people and people end up with the product that they are not satisfied with. This can be stopped in some extent with the help of machine learning algorithms. The purposed method uses Machine Learning Algorithm like Random Forest, ANN, Support Vector Machine which helps the people to differentiate between fraud feedbacks and original reviews.