Determining the experience of museum visitors by text mining: example of Topkapi Palace museum

ÇATIR O.

International Journal of Tourism Policy, vol.14, no.1, pp.107-118, 2024 (Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 14 Issue: 1
  • Publication Date: 2024
  • Doi Number: 10.1504/ijtp.2024.135435
  • Journal Name: International Journal of Tourism Policy
  • Journal Indexes: Scopus, Aerospace Database, CAB Abstracts, Communication Abstracts, Geobase, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.107-118
  • Keywords: experience expectation, Latent Dirichlet allocation model (LDA), online reviews, preference for visiting, text mining, topic modelling, Topkapi Palace Museum, tourism, tourist experience., visitor study
  • Uşak University Affiliated: Yes

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.