This study aims to explore the intellectual structure and thematic trends of agritourism research through advanced text mining and topic modeling techniques, addressing a significant gap by providing a quantitative synthesis of agritourism literature with a focus on how scholarly discourse has evolved across domains such as sustainability, rural development, and tourism marketing. A systematic review of 223 peer-reviewed journal articles published between 2000 and 2024 was conducted using the Scopus database, applying text mining techniques including preprocessing (tokenization, lemmatization, and stop word removal) followed by Latent Dirichlet Allocation (LDA) to extract latent topics, whil... More >