Authors:

Joshi Shraddha Rajeshkumar, Mahammad Idrish I. Sandhi

Abstract:

Sentiment analysis of online hotel reviews is crucial for hotel management to understand customer feedback and improve services. This study explores the application of deep learning techniques, including BERT and transformers, to enhance sentiment analysis accuracy. We propose a text-based approach to analyze customer reviews and ratings, and demonstrate significant improvements in sentiment classification accuracy. Our results enable hotels to extract actionable insights and enhance customer satisfaction. The study demonstrates the potential of AI-driven sentiment analysis in hospitality management, providing a framework for real-time feedback analysis and targeted quality enhancements.

Keywords:

Sentiment Analysis, Hotel Management, Big Data, Text Mining, Opinion Mining, Customer Feedback, Data Analytics

Vol & Issue:

VOL.18, ISSUE No.1, March 2026