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Dergiler / Journal of Tourismology / 2026 / Volume: 11 Issue: 1

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

Egemen Güneş Tükenmez(ALANYA ALAADDIN KEYKUBAT UNIVERSITY, FACULTY OF TOURISM, DEPARTMENT OF TOURISM MANAGEMENT - TOURISM ADMINISTRATION)0000-0003-0534-6783
Kemal Kantarcı(ALANYA ALAADDIN KEYKUBAT UNIVERSITY, FACULTY OF TOURISM, DEPARTMENT OF TOURISM MANAGEMENT - TOURISM ADMINISTRATION)0000-0002-9572-2959
Alper Kürşat Uysal(ALANYA ALAADDIN KEYKUBAT UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF COMPUTER ENGINEERING)0000-0002-4057-934X
Nurzhan Abdirazakhov(University of Tourism and Hospitality, School of Tourism, International)0000-0002-6733-2873
Turganbai Abdrassilov Kurmanbaevich(International University of Tourism and Hospitality, School of Tourism)0000-0002-2892-9028
Sayfa
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Yayın Tarihi
2025-07-30
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In light of these issues, it aims to improve the interaction between visitors and the destination and provide practical implications for museum management.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Kazakhstan stands out as one of the key destinations in Central Asia, with a unique and diverse range of cultural and historical resources.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı:In light of these issues, it aims to improve the interaction between visitors and the destination and provide practical implications for museum management.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Kazakhstan · Tourism · Museum

Abstract

Kazakhstan 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.

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Bu Makaleye Atıf Yap

Tükenmez, E. G., Kantarcı, K., Uysal, A. K., Abdirazakhov, N., Kurmanbaevich, T. A. (2025). Sentiment and Topic Modelling Analysis of Museum Reviews in the Context of Traveller Types: The Case of Kazakhstan. Journal of Tourismology, Volume: 11 Issue: 1. https://doi.org/10.26650/jot.2025.10.1.1562642

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