Otel Hizmetlerinin Değerlendirilmesinde Gizli Dirichlet Ayrımı ile Analiz: Kastamonu İli Örneği (Analysis with Latent Dirichlet Allocation in the Evaluation of Hotel Services: The Case of Kastamonu)

Authors

  • İbrahim BUDAK
  • Alptekin SÖKMEN

DOI:

https://doi.org/10.21325/jotags.2022.1124

Keywords:

Hotel, Latent Dirichlet allocation, Kastamonu

Abstract

In this study, the comments, opinions and evaluations made by the users on the TripAdvisor site regarding the hotels in Kastamonu province were analyzed with the Latent Dirichlet Allocation (LDA). Clustering was also done with the keywords obtained in line with the analysis. Afterwards, the clusters were labeled under various headings and the comments were visualized. As a result of the analysis, it was seen that the users in Istanbul mostly visited Kastamonu and again in August, and again the users traveled with their families. In addition, based on user comments, the labels of basic services, experience, comfort and convenience, value and fun, and things to do were also removed. According to the results of the analysis, the tag with the highest degree of importance was basic services (0.271); The label with the lowest degree of importance was determined as things to do (0.164). The most prominent words are hotel, room/rooms, breakfast, politeness, staff, Kastamonu and cleaning.

References

Afaq, A., Gaur, L., & Singh, G. (2022). A latent dirichlet allocation technique for opinion mining of online reviews of global chain hotels. In 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 201-206.

Akhtar, N., Zubair, N., Kumar, A., & Ahmad, T. (2017). Aspect based sentiment oriented summarization of hotel reviews. Procedia Computer Science, 115, 563-571.

Annisa, R., & Surjandari, I. (2019). Opinion mining on mandalika hotel reviews using latent dirichlet allocation. Procedia Computer Science, 161, 739-746.

Blei, M. D., Ng, A. Y.-T., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 993-1022.

Bolelli, L., Ertekin, Ş., & Giles, C. L. (2009). Topic and trend detection in text collections using latent dirichlet allocation. Proceedings of the 31th European Conference on IR Researchon Advances in Information Retrieval. Toulouse, 776-780.

Budak, İ. (2021), Veri ve Metin Madenciliği ile Hava Yolu İşletmelerinin Sosyal Medya Yorum Ve Skorlarının Değerlendirilmesi, Pamukkale Üniversitesi, Sosyal Bilimler Enstitüsü, Denizli.

Chen, Y. S., Chen, L. H., & Takama, Y. (2015). Proposal of LDA-based sentiment visualization of hotel reviews. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 687-693). IEEE.

Ekinci, E., & Omurca, S. İ. (2017). Ürün özelliklerinin konu modelleme yöntemi ile çıkartılması. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 9(1), 51-58.

Guo, Y., Barnes, S., J. & Jia, Q. (2017). Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59(2017):467-483.

Hu, N., Zhang, T., Gao, B., & Bose, I. (2019). What do hotel customers complain about? Text analysis using structural topic model. Tourism Management, 72, 417-426.

Jadhav, N. (2014, 26 June). Topic models for sentiment analysis: A literature survey. Center for Indian Language Technology (CFILT), 1-11.

Maier, D., Waldherr, A., Miltner, P., Wiedemann, G., Niekler, A., Keinert, A., ... & Adam, S. (2018). Applying LDA topic modeling in communication research: Toward a valid and reliable methodology. Communication Methods and Measures, 12(2-3), 93-118.

Nguyen, V. H., & Ho, T. (2021). Analyzing customer experience in hotel services using topic modeling. Journal of Information Processing Systems, 17(3), 586-598.

Priyantina, R. A., & Sarno, R. (2019). Sentiment analysis of hotel reviews using latent dirichlet allocation, Semantic similarity and LSTM. International Journal of Intelligent Systems, 12(4), 142-155.

www.rapidminer.com, Erişim Tarihi: 15.07.2022.

www.tripadvisor.com, Erşim Tarihi: 15.07.2022.

Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.

Published

03/25/2023

How to Cite

BUDAK, İbrahim, & SÖKMEN, A. (2023). Otel Hizmetlerinin Değerlendirilmesinde Gizli Dirichlet Ayrımı ile Analiz: Kastamonu İli Örneği (Analysis with Latent Dirichlet Allocation in the Evaluation of Hotel Services: The Case of Kastamonu). Journal of Tourism & Gastronomy Studies, 10(4), 2942–2954. https://doi.org/10.21325/jotags.2022.1124

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