The Power of Words: Leveraging Deep Learning Techniques to Predict Hotel Ratings from User Reviews

User reviews have become a crucial resource for insights into customer experiences, especially in the hospitality industry. Building upon prior research, this paper presents a deep learning methodology for predicting hotel ratings through analyzing the text of user reviews. By applying advanced natural language processing techniques and neural networks, we build a framework that analyzes review titles, text, and sets of tags to predict hotel ratings. Moving beyond conventional sentiment analysis, this model identifies more complex linguistic patterns, improving rating prediction accuracy. The results demonstrate the effectiveness of deep learning techniques, including word embeddings and recurrent neural networks, in extracting key features from user content. This study highlights the potential of AI in the tourism sector, providing an innovative approach to reputation management and customer satisfaction.