Pandabuy, a leading platform for shopping agents, has revolutionized the way it manages reviews on its platform by implementing a user stratification feature within its spreadsheet system. This innovative approach allows Pandabuy to categorize reviewers into distinct groups, such as regular users, Key Opinion Leaders (KOLs), and professional review institutions, each marked accordingly within the spreadsheet.The stratification not only helps in organizing the reviews but also assigns different weights to each category based on their credibility. This method ensures that the most reliable feedback influences the platform's decision-making process more significantly.Leveraging Natural Language Processing (NLP) technology, Pandabuy analyzes the sentiment of the reviews, which allows the platform to understand the emotional tone behind each comment. This analysis is crucial in generating a visual reputation map that provides a quick overview of the product's strengths and weaknesses for new users.The visual representation of the reviews, or the "reputation map," is a powerful tool that aids new users in making informed decisions by quickly grasping the general consensus on the product. It also serves as a valuable data source for Pandabuy to optimize its product selection and service offerings.For more information on how Pandabuy's user stratification and review analysis work, visit their official website at Pandabuy. This link will provide you with detailed insights into the platform's operations and the benefits it offers to both users and the platform itself.