Study on the development trend of Yunnan coffee tourism based on LDA model

Authors

  • Yi Ouyang Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin
  • Nutteera Phakdeephirot Rattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin

Keywords:

Yunnan coffee tourism, LDA model, thematic analysis, semantic network, sustainable tourism

Abstract

As an emerging model of integrating local industries with tourism, Yunnan coffee tourism shows significant market potential and cultural value. This study aims to: (1) identify the main themes of Yunnan coffee tourism using the LDA model; (2) analyze the relationships and relevance among these themes; and (3) examine the opportunities and challenges for its development and sustainability. Using the LDA model, thematic analysis of tourists’ online reviews and social media content identifies six core themes: Yunnan coffee culture, coffee tourism experiences, global coffee roasting and branding, coffee enthusiasts and baristas, coffee production and history, and coffee consumption and processing. Semantic network analysis highlights the interconnected nature of these themes, with cultural immersion and experiential elements central to shaping tourist behavior. Sentiment analysis reveals tourists’ predominantly positive attitudes, appreciating product quality, cultural experiences, and innovative aspects, while highlighting challenges in service quality and infrastructure. This study contributes to the literature by applying advanced text-mining techniques to a niche tourism sector, offering empirical insights into development trends and tourist preferences. Practically, it provides recommendations for product innovation, branding, and sustainable management to enhance Yunnan’s competitiveness as a coffee tourism destination. The findings underscore Yunnan coffee tourism’s potential to drive regional economic growth and cultural dissemination, offering a model for industry-tourism integration.

References

Akenroye, T. O., Dora, M., Kumar, M., Elbaz, J., Kah, S., & Jebli, F. (2021). A taxonomy of barriers to the adoption of sustainable practices in the coffee farming process. Journal of Cleaner Production, 312, 127818. https://doi.org/10.1016/j.jclepro.2021.127818

Alsayat, A. (2023). Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca. Neural Computing and Applications, 35(6), 4701-4722. https://doi.org/10.1007/s00521-022-07992-x

Casalegno, C., Candelo, E., Santoro, G., & Kitchen, P. (2020). The perception of tourism in coffee‐producing equatorial countries: An empirical analysis. Psychology & Marketing, 37(1), 154-166. https://doi.org/10.1002/mar.21291

Chen, Q. Xu, S., Liu, R., & Jiang, Q. (2023). Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling. Sustainability, 15(12), 92-96. https://doi.org/10.3390/su15129296

Christensen, A. P., & Kenett, Y. N. (2023). Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks. Psychological Methods, 28(4), 860. https://doi.org/10.1037/met0000463

Dinis, M. G., Melo, C. S., & Sousa, J. M. B. M. (2021). Coffee tourism in Portugal: an attraction case study. International Journal of Culture, Tourism and Hospitality Research, 15(3), 399-412. https://doi.org/10.1108/IJCTHR-08-2020-0194

Duxbury, N., & Richards, G. (2019). Towards a research agenda for creative tourism: Developments, diversity, and dynamics. A research agenda for creative tourism, 1-14. https://doi.org/10.4337/9781788110723.00008

Feng, T., Zhang, C., & He, J. (2024). Mellower: A Specialty Coffee Brand From China. FUDAN, 1-21. https://doi.org/10.12156/FUDAN.CASE202216011

Fortunel, F., Hu, Y., & Le Duc, N. (2023). The Construction of Coffee Qualities: Geo-economics Crossroads between China and Vietnam. TRaNS: Trans -Regional and -National Studies of Southeast Asia, 11(2), 141-157. https://doi.org/10.1017/trn.2022.14

Hashmi, E., & Yayilgan, S. Y. (2024). A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews. Electronic Commerce Research. https://doi.org/10.1007/s10660-024-09896-5

Huang, X., & Chelliah, S. Attributes Influencing Tourist Satisfaction: Sentiment Analysis and Topic Modeling of Online Reviews. Journal of China Tourism Research, 1-20. https://doi.org/10.1080/19388160.2024.2440323

Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169-15211. https://doi.org/10.1007/s11042-018-6894-4

Kirilenko, A. P., Stepchenkova, S. O., & Dai, X. (2021). Automated topic modeling of tourist reviews: Does the Anna Karenina principle apply? Tourism management, 83, 104241. https://doi.org/10.1016/j.tourman.2020.104241

Lekmiti, A., Stolk, P. J., Taylor, A., Ramachandran, S., & Yap, N. K. (2024). Text mining in tourism and hospitality research: a bibliometric perspective. Journal of hospitality and tourism technology, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JHTT-05-2024-0284

Li, N., & Sakamoto, Y. (2021). Trends in Specialty Coffee. In L. Louzada Pereira & T. Rizzo Moreira (Eds.), Quality Determinants In Coffee Production (pp. 407-443). Springer International Publishing. https://doi.org/10.1007/978-3-030-54437-9_9

Maspul, K. A., & Almalki, F. A. (2023). Preserving Local Wisdom: Unaizah's Coffee Culture and Dates Farming Sustaining Cultural Heritage. J-CEKI: Jurnal Cendekia Ilmiah, 2(6), 639-664. https://doi.org/10.56799/jceki.v2i6.2280

Moyle, B., Croy, G., & Weiler, B. (2010). Tourism interaction on islands: the community and visitor social exchange. International Journal of Culture, Tourism and Hospitality Research, 4(2), 96-107. https://doi.org/10.1108/17506181011045172

Opoku, E., Wang, S., & Muñoz, K. (2021). A better brew: COVID-19 and sustainable outcomes for coffee tourism in Ali Mountain, Taiwan. Journal of Responsible Tourism Management, 1(1), 71-87. https://doi.org/10.47263/JRTM.01-01-06

Pan, Q. (2023). The Past, Present and Future of Coffee Tourism. Open Journal of Business and Management, 11(2), 688-703. https://doi.org/10.4236/ojbm.2023.112037

Pomfret, G. (2019). Conceptualising family adventure tourist motives, experiences and benefits. Journal of Outdoor Recreation and Tourism, 28. https://doi.org/10.1016/j.jort.2018.10.004

Qian, J., Zeng, Y., Tang, X., & Hu, X. (2024). Empowering left-behind places in Southwest China: participation in coffee value chains as place-based development. Cambridge Journal of Regions, Economy and Society, 17(2), 375-392.

Saoualih, A., Safaa, L., Bouhatous, A., Bidan, M., Perkumienė, D., Aleinikovas, M., Šilinskas, B., & Perkumas, A. (2024). Exploring the Tourist Experience of the Majorelle Garden Using VADER-Based Sentiment Analysis and the Latent Dirichlet Allocation Algorithm: The Case of TripAdvisor Reviews. Sustainability, 16(15), 63-78. https://www.mdpi.com/2071-1050/16/15/6378

Sott, M. K., Furstenau, L. B., Kipper, L. M., Giraldo, F. D., Lopez-Robles, J. R., Cobo, M. J., Zahid, A., Abbasi, Q. H., & Imran, M. A. (2020). Precision techniques and agriculture 4.0 technologies to promote sustainability in the coffee sector: state of the art, challenges and future trends. IEEE Access, 8, 149854-149867. https://doi.org/10.1109/ACCESS.2020.3016325

Vu, O. T. K., Alonso, A. D., Martens, W., Ha, L. D. T., Tran, T. D., & Nguyen, T. T. (2022). Hospitality and tourism development through coffee shop experiences in a leading coffee-producing nation. International Journal of Hospitality Management, 106, 103300. https://doi.org/10.1016/j.ijhm.2022.103300

Vu, O. T. K., Alonso, A. D., Tran, T. D., Martens, W., Do, L., Nguyen, T. T., Atay, E., & Akbari, M. (2024). Coffee culture unravelled: exploring the coffee shop experience model in the Vietnamese context. Tourism Recreation Research, 1-19. https://doi.org/10.1080/02508281.2023.2295621

Wang, M.-j., Chen, L.-H., Su, P.-a., & Morrison, A. M. (2019). The right brew? An analysis of the tourism experiences in rural Taiwan's coffee estates. Tourism Management Perspectives, 30, 147-158. https://doi.org/10.1016/j.tmp.2019.02.009

Woyesa, T., & Kumar, S. (2021). Potential of coffee tourism for rural development in Ethiopia: a sustainable livelihood approach. Environment, Development and Sustainability, 23(1), 815-832. https://doi.org/10.1007/s10668-020-00610-7

Wu, B., Wang, L., & Zeng, Y.-R. (2023). Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19. Applied Intelligence, 53(11), 14493-14514.

Yoon, H. Y., & Yoo, S.-C. (2024). Finding tourism niche on image-based social media: Integrating computational methods. Journal of Vacation Marketing, 30(4), 874-889. https://doi.org/10.1177/13567667231180994

Zhang, J., Zhang, R., Li, Q., Zhang, X., & He, X. (2023). Spatial Sifferentiation and Differentiated Development Paths of Traditional Villages in Yunnan Province. Land, 12(9), 1663. https://doi.org/10.3390/land12091663

Zhang, S., Liu, X., Wang, X., Gao, Y., & Yang, Q. (2021). Evaluation of coffee ecological adaptability using Fuzzy, AHP, and GIS in Yunnan Province, China. Arabian Journal of Geosciences, 14(14), 1366. https://doi.org/10.1007/s12517-021-07795-9

Published

26-12-2024

Issue

Section

Research Article