A Machine Learning Approach for Tackling Deceptive Reviews in e-Commerce

Machine learning algorithms utilized by False Review of Internet Products enable customers to identify deceptive online reviews. Social media evaluations have prompted users to provide feedback on products, now a feature on many e-commerce platforms where users can rate purchased items. These consumer assessments significantly impact a product’s reputation. False or biased reviews commonly appear on online shopping sites, aiming to discredit or overly promote products, potentially causing financial losses or rapid business growth. The proposed work demonstrates the application of sentiment analysis to effectively detect fake and spam reviews using SVM, offering a solution to this issue.