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Ranking of hotels using customer reviews: an LDA—picture fuzzy TOPSIS approach

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  • Anu Gupta Aggarwal

    (University of Delhi)

  • Sanchita Aggarwal

    (University of Delhi)

  • Vinita Jindal

    (University of Delhi)

Abstract

The hospitality sector generates a lot of data, which is added as written feedbacks and/or numerical ratings. Online travel agencies (OTAs) thrive on giving consumers a variety of options tailored according to their tastes and needs. In this research, we propose ranking of hotels according to customer provided reviews by incorporating machine learning and multi criterion decision making techniques. In this study, hotels located in Paris are shortlisted for the ranking purpose based on certain criterion. The reviews are initially pre-processed and a topic modelling technique Latent Dirichlet Allocation (LDA) has been utilized to extract important features. A total of seven features each having twenty keywords have been extracted through this technique. These features are then assigned weights using Maximum Entropy Minimum Variance Ordered Weighted Averaging (MEMV-OWA) method. For ranking, multi-criteria decision-modelling approach Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has been utilized. Experts have been roped in to provide scores for the decision matrix of TOPSIS. To address the imprecision inherent in human judgement, picture fuzzy numbers have been used. The results of this procedure have ranked hotels located in Paris based on reviews provided by the customers. A comparison with two other MCDM techniques, VIKOR and PROMETHEE has been done to justify the proposed methodology. The findings of the research provide theoretical and practical implementations and are discussed in the paper.

Suggested Citation

  • Anu Gupta Aggarwal & Sanchita Aggarwal & Vinita Jindal, 2025. "Ranking of hotels using customer reviews: an LDA—picture fuzzy TOPSIS approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(5), pages 1885-1898, May.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:5:d:10.1007_s13198-025-02742-3
    DOI: 10.1007/s13198-025-02742-3
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    References listed on IDEAS

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    1. Yang Liu & Jian-Wu Bi & Zhi-Ping Fan, 2017. "A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1497-1522, November.
    2. Himanshu Sharma & Abhishek Tandon & P. K. Kapur & Anu G. Aggarwal, 2019. "Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 973-983, October.
    3. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao & Hui Li, 2022. "Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations," Information Technology & Tourism, Springer, vol. 24(1), pages 127-155, March.
    4. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    5. Tian-Hui You & Ling-Ling Tao & Erik Cambria, 2023. "A Hotel Ranking Model Through Online Reviews With Aspect-Based Sentiment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 89-113, January.
    6. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    7. Aakash Aakash & Anu Gupta Aggarwal, 2020. "Measuring the Effect of EWOM Readability and Sentiment on Sales: Online Cellphone Reviews," International Journal of Business Analytics (IJBAN), IGI Global, vol. 7(4), pages 24-42, October.
    8. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    9. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    10. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    11. Hadi Shirouyehzad & Farhad Hosseinzadeh Lotfi & S. Mohammad Arabzad & Reza Dabestani, 2013. "An AHP/DEA ranking method based on service quality approach: a case study in hotel industry," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 11(4), pages 434-445.
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