Exploring tourist behavior using natural language processing: Evidence from tripadvisor reviews
DOI:
https://doi.org/10.61591/jslhu.20.630Từ khóa:
Corrective feedback; Writing instruction; Digital tools; Technology integration; Language education.Tóm tắt
This study applies natural language processing (NLP) and Non-negative Matrix Factorization (NMF) to analyze TripAdvisor reviews of short-day tours in Southern Vietnam. Key topics representing traveler experiences and motivations are identified, framed within the push and pull theory. Push factors, like the desire for knowledge and convenience, and pull factors, such as unique activities and cultural immersion, influence tourist behaviors. The findings provide actionable recommendations for tour operators to create experiences that meet both intellectual and experiential needs, enhancing customer satisfaction and deepening connections with the destination.
Tài liệu tham khảo
J. A. S. Fernández, et al., "Determinants of tourism destination competitiveness in the countries most visited by international tourists: Proposal of a synthetic index," Tourism Management Perspectives, 33, pp. 100582, 2020.
A. Mardani, et al., "Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature," Journal of Business Economics and Management, 16(5), pp. 1034-1068, 2015.
V. Nelson, "Liminality and difficult heritage in tourism," in Liminality in Tourism: Routledge, 2021, pp. 80-100.
D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization," Advances in neural information processing systems, 13, 2000.
R. Albalawi, T. H. Yeap, and M. Benyoucef, "Using topic modeling methods for short- text data: A comparative analysis," Frontiers in artificial intelligence, 3, pp. 42, 2020.
N. H. Tien, N. M. Ngoc, and D. B. H. Anh, "Sustainability of coastal tourism development: comparative analysis of Vietnam's Northern and Southern provinces," Journal of southwest jiaotong university, 55(6), 2020.
G. M. Dann, "Tourist motivation an appraisal," Annals of tourism research, 8(2), pp. 187-219, 1981.
G. M. Dann, "Anomie, ego-enhancement and tourism," Annals of tourism research, 4(4), pp. 184-194, 1977.
D. Getz and S. J. Page, "Progress and prospects for event tourism research," Tourism management, 52, pp. 593-631, 2016.
B. Garner and D. Kim, "Analyzing user-generated content to improve customer satisfaction at local wine tourism destinations: an analysis of Yelp and TripAdvisor reviews," Consumer behavior in tourism and hospitality, 17(4), pp. 413-435, 2022.
R. K. Mishra, et al., "Knowledge based topic retrieval for recommendations and tourism promotions," International Journal of Information Management Data Insights, 3(1), pp. 100145, 2023.
S. Deerwester, et al., "Indexing by latent semantic analysis,"
Journal of the American society for information science, 41(6), pp. 391-407, 1990.
T. Hofmann, "Probabilistic latent semantic indexing," in Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999, pp. 50-57.
D. M. Blei, et al., "Latent dirichlet allocation," Journal of machine Learning research, 3, pp. 993-1022, 2003.
K. Nithin Goud, et al., "User preference multi-criteria recommendations using neural collaborative filtering methods," in Proceedings of the Sixth International Conference on Mathematics and Computing: ICMC 2020, 2021: Springer, pp. 55-64.
A. D. Bright, "Motivations, attitudes, and beliefs," in Handbook of hospitality marketing management: Routledge, 2009, pp. 239-265.
A. Correia, P. O. do Valle, and C. Moço, "Modeling motivations and perceptions of Portuguese tourists," Journal of Business Research, 60(1), pp. 76-80, 2007.
J. L. Crompton and S. L. McKay, "Motives of visitors attending festival events," Annals of tourism research, 24(2,) pp. 425-439, 1997.
G. Erol, A. Deliormanli, and E. Düşmezkalender, "A tourism accommodation perspective in a post-pandemic nature-based tourism development context," in The Routledge Handbook of Nature Based Tourism Development: Routledge, 2023, pp. 474-489.
I. Cifci, O. Atsiz, O. C. Kahraman, and F. Istanbullu Dincer, "Recreational fishers' motivations at wetland destinations: The push and pull theory approach," Leisure Sciences, pp. 1-23, 2021.
S. Han and C. K. Anderson, "Web scraping for hospitality research: Overview, opportunities, and implications," Cornell Hospitality Quarterly, 62, (1), pp. 89- 104, 2021.
S. Singh, T. Chauhan, V. Wahi, and P. Meel, "Mining tourists’ opinions on popular Indian tourism hotspots using sentiment analysis and topic modeling," in 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021: IEEE, pp. 1306-1313.
M. J. Sánchez-Franco and S. Rey-Tienda, "The role of user-generated content in tourism decision-making: an exemplary study of Andalusia, Spain," Management Decision, 2023.
R. P. Sastre and P. Phakdee-Auksorn, "Examining tourists’ push and pull travel motivations and behavioral intentions: The case of British outbound tourists to Phuket, Thailand," Journal of Quality Assurance in Hospitality & Tourism, 18(4), pp. 437-464, 2017.
M. Carvache-Franco, M. M. Solis-Radilla, W. Carvache-Franco, and O. Carvache- Franco, "Push and pull motivations as demand predictors of coastal and marine destinations: a study in Acapulco, Mexico," Tourism Planning & Development, 20(6), pp. 1000-1018, 2023.
Tripadvisor (2023). Vietnam Adventure Tours.