The document proposes a system to analyze online product reviews and assign an authenticity score to products based on sentiment analysis of the reviews using a Support Vector Machine (SVM) classifier. It discusses how sentiment analysis can help classify genuine reviews from fake or agenda-driven reviews. The proposed system would scrape product reviews, preprocess and vectorize the text, classify the sentiment, and provide an overall product rating to help users determine if they want to purchase a product.