This document proposes a trust reputation system for e-commerce reviews that uses sentiment similarity analysis of user reviews. It analyzes user reviews to estimate user similarity and trust. The system displays pre-fabricated reviews to newly registered users and analyzes their responses to calculate a trust score for the user based on how similar their sentiments are to trustworthy reviews. It then uses the trust scores and review ratings to calculate an overall trust score for products. The goal is to help users make more informed purchasing decisions by analyzing review sentiments and user trustworthiness.