Measuring guest satisfaction from online reviews: Evidence in Vietnam

References

• Afzaal, M., Usman, M., Fong, A. C. M., & Fong, S. (2019). Multiaspect-based opinion classification model for tourist reviews. Expert Systems, 36(2), 1–14. https://doi.org/10.1111/exsy.12371
   Web of Science ®Google Scholar
• Afzaal, M., Usman, M., Fong, A. C. M., Fong, S., & Zhuang, Y. (2016). Fuzzy aspect based opinion classification system for mining tourist reviews. Advances in Fuzzy Systems, 2016, 1–14. https://doi.org/10.1155/2016/6965725
   Google Scholar
• Akhtar, N., Zubair, N., Kumar, A., & Ahmad, T. (2017). Aspect based sentiment oriented summarization of hotel reviews. Procedia Computer Science, 115, 563–571. https://doi.org/10.1016/j.procs.2017.09.115
   Google Scholar
• Alrawadieh, Z., & Law, R. (2019). Determinants of hotel guests’ satisfaction from the perspective of online hotel reviewers. International Journal of Culture, Tourism, and Hospitality Research, 13(1), 84–97. https://doi.org/10.1108/IJCTHR-08-2018-0104
   Web of Science ®Google Scholar
• Annisa, R., Surjandari, I., & Zulkarnain. (2019). Opinion Mining on Mandalika Hotel Reviews Using Latent Dirichlet Allocation. Procedia Computer Science, 161, 739–746. doi: 10.1016/j.procs.2019.11.178
   Google Scholar
• Barbosa, R. R. L., Sánchez-Alonso, S., & Sicilia-Urban, M. A. (2015). Evaluating hotels rating prediction based on sentiment analysis services. Aslib Journal of Information Management, 67(4), 392–407. https://doi.org/10.1108/AJIM-01-2015-0004
   Web of Science ®Google Scholar
• Barreda, A., & Bilgihan, A. (2013). An analysis of user-generated content for hotel experiences. Journal of Hospitality and Tourism Technology, 4(3), 263–280. https://doi.org/10.1108/JHTT-01-2013-0001
   Google Scholar
• Berezina, K., Bilgihan, A., Cobanoglu, C., & Okumus, F. (2016). Understanding satisfied and dissatisfied hotel customers: Text mining of online hotel reviews. Journal of Hospitality Marketing and Management, 25(1), 1–24. https://doi.org/10.1080/19368623.2015.983631
   Web of Science ®Google Scholar
• Berne-Manero, C., Gómez-Campillo, M., Marzo-Navarro, M., & Pedraja-Iglesias, M. (2018). Reviewing the online tourism value chain. Administrative Sciences, 8(3), 48. https://doi.org/10.3390/admsci8030048
   Web of Science ®Google Scholar
• Blomberg-Nygard, A., & Anderson, C. K. (2016). United nations world tourism organization study on online guest reviews and hotel classification systems: An integrated approach. Service Science, 8(2), 139–151. https://doi.org/10.1287/serv.2016.0139
   Web of Science ®Google Scholar
• Boon, E., Bonera, M., & Bigi, A. (2013). Measuring Hotel Service Quality from Online Consumer Reviews: A Proposed Method. Information and Communication Technologies in Tourism 2014, 367–379. doi: 10.1007/978-3-319-03973-2_27
   Google Scholar
• Chong, A. Y. L., Khong, K. W., Ma, T., McCabe, S., & Wang, Y. (2018). Analyzing key influences of tourists’ acceptance of online reviews in travel decisions. Internet Research, 28(3), 564–586. https://doi.org/10.1108/IntR-05-2017-0212
   Web of Science ®Google Scholar
• Dong, J., Li, H., & Zhang, X. (2014). Classification of customer satisfaction attributes: An application of online hotel review analysis. IFIP Advances in Information and Communication Technology, 445(2008), 238–250. https://doi.org/10.1007/978-3-662-45526-5_23
   Google Scholar
• Elnagar, A., Khalifa, Y. S., & Einea, A. (2018). Hotel arabic-reviews dataset construction for sentiment analysis applications. Studies in Computational Intelligence, 740, 35–52. https://doi.org/10.1007/978-3-319-67056-0_3
   Google Scholar
• Godnov, U., & Redek, T. (2018). Good food, clean rooms and friendly staff: Implications of user-generated content for slovenian skiing, sea and spa hotels’ management. Management (Croatia), 23(1), 29–57. https://doi.org/10.30924/mjcmi/2018.23.1.29
   Google Scholar
• 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, 467–483. https://doi.org/10.1016/j.tourman.2016.09.009
   Web of Science ®Google Scholar
• Hu, M., & Liu, B. (2004). Mining opinion features in customer reviews. In AAAI (Vol. 4, No. 4, pp. 755-760).
   Google Scholar
• Jayathilaka, R., Dharmasena, T., Rezahi, N., & Haththotuwegama, S. (2020). The impact of online reviews on inbound travellers’ decision making. Quality and Quantity, 54(3), 1005–1021. https://doi.org/10.1007/s11135-020-00971-1
   Google Scholar
• Laddha, A., & Mukherjee, A. (2018). Aspect opinion expression and rating prediction via LDA-CRF hybrid. Natural Language Engineering, 24(4), 611–639. https://doi.org/10.1017/S135132491800013X
   Web of Science ®Google Scholar
• Li, H., Liu, Y., Tan, C. W., & Hu, F. (2020). Comprehending customer satisfaction with hotels: Data analysis of consumer-generated reviews. International Journal of Contemporary Hospitality Management, 32(5), 1713–1735. https://doi.org/10.1108/IJCHM-06-2019-0581
   Web of Science ®Google Scholar
• Li, Q., Li, S., Zhang, S., Hu, J., & Hu, J. (2019). A Review of Text Corpus-Based Tourism Big Data Mining. Applied Sciences, 9(16), 3300. doi:10.3390/app9163300
   Google Scholar
• Liu, B. (2015). Sentiment analysis: Mining opinions, sentiments, and emotions. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions, May, 1–367. https://doi.org/10.1017/CBO9781139084789
   Google Scholar
• Manes, E., Tchetchik, A., Ettinger, A., Grabner-Kräuter, S., & Terlutter, R. (2018). The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking. Journal of Business Research, 68(September2017), 185–196. https://doi.org/10.1016/j.ijhm.2017.09.002
   Web of Science ®Google Scholar
• Marrese-Taylor, E., Velásquez, J. D., & Bravo-Marquez, F. (2014). A novel deterministic approach for aspect-based opinion mining in tourism products reviews. Expert Systems with Applications, 41(17), 7764–7775. https://doi.org/10.1016/j.eswa.2014.05.045
   Web of Science ®Google Scholar
• Martín, C. A., Torres, J. M., Aguilar, R. M., & Diaz, S. (2018 (2018 2018). Using Deep Learning to Predict Sentiments: Case Study in Tourism. Complexity, 2018, 1–9. doi:10.1155/2018/7408431
   Web of Science ®Google Scholar
• Mendes Filho, L. A. M., Tan, F. B., & Mills, A. (2012). User - generated content and travel planning: An application of the theory of planned behavior. Revista Brasileira De Pesquisa Em Turismo. São Paulo, 6(3), 280–289. https://doi.org/10.7784/rbtur.v6i3.543
   Google Scholar
• Nawangsari, R. P., Kusumaningrum, R., & Wibowo, A. (2019). Word2Vec for Indonesian Sentiment Analysis towards Hotel Reviews: An Evaluation Study. Procedia Computer Science, 157, 360–366. doi:10.1016/j.procs.2019.08.178
   Google Scholar
• Neirotti, P., Raguseo, E., & Paolucci, E. (2016). Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning. International Journal of Information Management, 36(6partA), 1133–1143. https://doi.org/10.1016/j.ijinfomgt.2016.02.010
   Web of Science ®Google Scholar
• Panigrahi, N., & Asha, T. (2018, July). Aspect-Level Sentiment Analysis on Hotel Reviews. In Computational Intelligence in Data Mining: Proceedings of the International Conference on CIDM 2017 (Vol. 711, p. 379). Springer.
   Google Scholar
• Sharma, H., Tandon, A., Kapur, P. K., & Aggarwal, A. G. (2019). Ranking hotels using aspect ratings-based sentiment classification and interval-valued neutrosophic TOPSIS. International Journal of Systems Assurance Engineering and Management, 10(5), 973–983. https://doi.org/10.1007/s13198-019-00827-4
   Web of Science ®Google Scholar
• Tran, T., Ba, H., & Huynh, V. N. (2019). Measuring hotel review sentiment: An aspect-based sentiment analysis approach. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11471(LNAI), 393–405. https://doi.org/10.1007/978-3-030-14815-7_33
   Google Scholar
• Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44, 120–130. https://doi.org/10.1016/j.ijhm.2014.10.013
   Web of Science ®Google Scholar
• Xu, X. (2018). Does traveler satisfaction differ in various travel group compositions? Evidence from online reviews. International Journal of Contemporary Hospitality Management, 30(3), 1663–1685. https://doi.org/10.1108/IJCHM-03-2017-0171
   Web of Science ®Google Scholar
• Xue, W., Li, T., & Rishe, N. (2017). Aspect identification and ratings inference for hotel reviews. World Wide Web, 20(1), 23–37. https://doi.org/10.1007/s11280-016-0398-9
   Web of Science ®Google Scholar
• Zhou, L., Ye, S., Pearce, P. L., & Wu, M. Y. (2014). Refreshing hotel satisfaction studies by reconfiguring customer review data. International Journal of Hospitality Management, 38, 1–10. https://doi.org/10.1016/j.ijhm.2013.12.004
   Web of Science ®Google Scholar