The perspectives and insights of sentiments on destinations are important for tourism stakeholders. Purpose of this research work is to understand tourist behavior with the help of Electronic Word of Mouth (eWOM) and to bring out the cognitive insights using TripAdvisor for Asian destinations. A well-established Stimulus-Organism-Response (SOR) theory is used as a thematic foundation in this research and ChatGPT-based content analysis is conducted using traveler reviews. Sample size of 151,872 TripAdvisor review comments from 90 Asian destinations are analyzed in this research. Logistic Regression and Structural Equation Modeling are used to examine the sample data. Empirical findings highlighted that travelers have unique sentiments on each destination and moderate positive sentiments influence the intention to visit. Macro and micro analysis is used in this research, its findings are re-shaping the demand and supply and is helpful for the decision makers to promote destinations.