Sentiment and Topic Modelling Analysis of Museum Reviews in the Context of Traveller Types: The Case of Kazakhstan

Basit Öğe Kaydı
dc.contributor.authorTükenmez, Egemen Güneş
dc.contributor.authorKantarcı, Kemal
dc.contributor.authorUysal, Alper
dc.contributor.authorAbdirazakov, Nurzhan
dc.contributor.authorAbdrassilov, Turganbai
dc.date.accessioned2026-01-24T12:01:16Z
dc.date.available2026-01-24T12:01:16Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractKazakhstan stands out as one of the key destinations in Central Asia, with a unique and diverse range of cultural and historical resources. Within these resources, museums are vital institutions where the region’s rich heritage is displayed and shared with the public, fostering a deeper understanding of its cultural identity. In this context, the present study aims to conduct a comprehensive analysis of online reviews of museums in Kazakhstan by applying advanced text mining and machine learning techniques. The research seeks to uncover the sentiments and topics expressed by visitors regarding their experiences with museums in Kazakhstan. The methodology uses a combination of sentiment analysis, topic modelling and text classification to provide a nuanced understanding of the visitor feedback. The topics identified from the analysis are further categorised according to different traveller types, providing insight into how different groups of visitors engage with the museum offer. The results show that visitors are more likely to make statements about the exhibition, services, outside and experience topics. Furthermore, each traveller type focuses on different aspects of museums in their reviews. In light of these issues, it aims to improve the interaction between visitors and the destination and provide practical implications for museum management.
dc.identifier.doi10.26650/jot.2025.10.1.1562642
dc.identifier.endpage72
dc.identifier.issn2459-1939
dc.identifier.issue1
dc.identifier.startpage51
dc.identifier.trdizinid1356884
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1356884
dc.identifier.urihttps://doi.org/10.26650/jot.2025.10.1.1562642
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4146
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of Tourismology
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectText mining
dc.subjectTourism
dc.subjectMuseum
dc.subjectKazakhstan
dc.subjectTraveller types
dc.titleSentiment and Topic Modelling Analysis of Museum Reviews in the Context of Traveller Types: The Case of Kazakhstan
dc.typeArticle

Dosyalar

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu