Dataset for User Feedback and Ratng Mechanisms Across Booking Websites

This dataset supports the study <i>“Digital Information Systems in Hospitality: A Comparative Study of User Feedback and Rating Mechanisms Across Booking Websites.”</i> It includes user review data collected from five booking platforms: Booking.com, TripAdvisor, Google Maps, Agoda, and Almosafer. The data were collected for hotels located in Riyadh that appear on all five platforms, using a crawler tool within the same time window to ensure consistency in hotel identity, location, and review timing. For each hotel, 25 user reviews were extracted, capturing the star rating, review content, and platform-specific details. The collected reviews were then analyzed using Azure Machine Learning Sentiment Analysis to classify them as positive, negative, or neutral. Azure’s model was used to ensure reliable sentiment classification based on pre-trained data from a wide range of products and services.