Determining the experience of museum visitors by text mining: example of Topkapı Palace museum
by Ozan Catir
International Journal of Tourism Policy (IJTP), Vol. 14, No. 1, 2024

Abstract: Visitor studies on the experiences and expectations of visitors are important for museums in terms of management and development. However, few studies have been designed to explore the components of experience for museum visitors. In this research, the experiences of museum visitors were analysed. Between 20 October 2022 and 30 November 2022, 11,633 comments were downloaded from TripAdvisor platform via Webharvy 5.0 program and transferred to excel program. The resulting file was transferred to the Rapidminer 9.3 program and word frequencies and common keywords were determined using this program. Topic modelling of words was done using the Latent Dirichlet allocation (LDA) model. In the study, five themes were determined: convenience and entertainment, cultural entertainment, personal identity, historical memories and escape. Finally, some relevant discussion and recommendations are presented.

Online publication date: Tue, 12-Dec-2023

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