Abstract
In sustainable tourism studies, this research focuses on two primary inquiries concerning the Mekong Delta, a region in Vietnam known for its ecological diversity and potential as a green tourism benchmark. The study first evaluates the most effective machine learning model in forecasting travelers' emotions. Then, it determines the prominent elements of eco-tourism reflected in traveler feedback. Using a collection of 3,532 Tripadvisor reviews related to the "Mekong Delta Tour from HCM City - Discover the Delta's Charms," sentiment analysis and topic modeling techniques are utilized to decode tourists' perspectives on the sustainable tourism methods of the region. Preliminary outcomes indicate a significant inclination towards eco-friendly tourism initiatives. Additionally, key sustainability areas of interest and concern emerge through topic analysis. Such insights offer practical guidance for tourism stakeholders and decision-makers, emphasizing the role of data-driven strategies in guiding tourism towards environmental harmony, particularly in sensitive habitats like the Mekong Delta.
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