Unveiling Tourist Profiles in the Department of Sucre: A Text Analysis Approach

Danileth Almanza-Gonzalez, Edwin Puertas, Juan Carlos Martinez-Santos

Abstract: Tourism has emerged as an industry powered by technological advancements that enrich tourists’ experiences. Digital interaction has transformed how tourists explore, share, and select destinations and activities. Platforms such as TripAdvisor and FourSquare stand out as sources of information and analysis, enabling understanding of tourist behavior and adapting offerings to tourists’ preferences. In this context, we analyzed comments extracted from TripAdvisor and FourSquare, applying Latent Semantic Analysis (LSA) techniques. Based on these data, segmentation of tourist types was implemented to gain a deep and detailed understanding of tourist behavior in the Sucre department, thus contributing to informed decision-making to enhance the quality of the tourism offer and experience.