Understanding Tourist Experiences at Prambanan Temple Through User-Generated Content

Large Language Models (LLMs) effectively capture the dual dimensions of tourist experiences at Prambanan Temple, distinguishing between passive and active engagement. Passive experiences emphasize visual elements like architectural beauty, while active ones focus on educational involvement. This study leverages TripAdvisor's User-Generated Content (UGC) to analyze digital footprints using Natural Language Processing (NLP), offering new insights into tourist behavior at cultural heritage sites. The findings contribute to the understanding of how LLMs can extract meaningful textual data in complex cultural contexts, advancing research on digital tourism.

Gusriza, F., Priyambodo, T. K., Mustofa, K., & Mutiarin, D. (2026). Understanding Tourist Experiences at Prambanan Temple Through User-Generated Content. Journal of Business on Hospitality and Tourism, 12(1), 74–85. https://doi.org/10.22334/jbhost.v12i1.537