In today’s digital age, travelers heavily rely on peer feedback to select hotels for their trips. However, the lack of transparency in hotel rating algorithms raises concerns about their accuracy. To address this issue, a study advocates for a reevaluation of the rating process by prioritizing customer feedback. The study used Sentiment Analysis to analyze over 28,000 reviews from Booking and Tripadvisor, and then converted sentiment scores into a 0 to 10 scale. Comparisons with ratings displayed on the platforms revealed a significant disparity, particularly with Tripadvisor showing higher averages than Booking. The study highlights the need for more transparent and accurate representation of guest sentiments in hotel ratings.