References
- Alaei, A. R., Becken, S., & Stantic, B. (2019). Sentiment analysis in tourism: capitalizing on big data. Journal of Travel Research, 58(2), 175–19. https://doi.org/https://doi.org/10.1177/0047287517747753
- 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/https://doi.org/10.1108/IJCTHR-08-2018-0104
- Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3(4–5), 993–1022. https://doi.org/https://doi.org/10.1016/b978-0-12-411519-4.00006-9
- Brasil. Ministério do Turismo. (2018). Plano nacional de turismo - 2018–2022: mais emprego e renda para o Brasil. https://cultura.rs.gov.br/upload/arquivos/carga20180322/28162245-pnt-2018-2022.pdf
- Brasil. Ministério do Turismo. (2020). Anuário Estatístico de Turismo 2020 - Ano Base 2019–2a Edição (Vol. 47, Issue 2). http://www.dadosefatos.turismo.gov.br/2016-02-04-11-54-03/demanda-turística-internacional.html
- Brochado, A., & Brochado, F. (2019). What makes a glamping experience great?. Journal of Hospitality and Tourism Technology, 10(1), 15–27. https://doi.org/https://doi.org/10.1108/JHTT-06-2017-0039
- Cronin, J., . J., & Taylor, S., . A. (1992). Measuring service quality: A re-examination and extension. Journal of Marketing, 56(3), 55–68. https://doi.org/https://doi.org/10.1177/002224299205600304
- Dogan, S., Basaran, M. A., & Kantarci, K. (2020). Determination of attributes affecting price-performance using fuzzy rule-based systems: Online ratings of hotels by travel 2.0 users. Journal of Hospitality and Tourism Technology, 11(2), 291-311. https://doi.org/https://doi.org/10.1108/JHTT-07-2018-0067
- Fernandes, T., & Fernandes, F. (2017). Sharing dissatisfaction online: analyzing the nature and predictors of hotel guests negative reviews. Journal of Hospitality Marketing & Management, 27(2), 127–150. https://doi.org/https://doi.org/10.1080/19368623.2017.1337540
- Foris, D., Crihalmean, N., & Foris, T. (2020). Exploring the environmental practices in hospitality through booking websites and online tourist reviews. Sustainability, 12(24), 1-18. https://doi.org/https://doi.org/10.3390/su122410282
- 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/https://doi.org/10.1016/j.tourman.2016.09.009
- Ha, E. Y., & Lee, H. (2018). Projecting service quality: the effects of social media reviews on service perception. International Journal of Hospitality Management, 69(September 2017), 132–141. https://doi.org/https://doi.org/10.1016/j.ijhm.2017.09.006
- Haghighi, N. N., Liu, X. C., Wei, R., Li, W., & Shao, H. (2018). Using twitter data for transit performance assessment: A framework for evaluating transit riders’ opinions about quality of service. Public Transport, 10(2), 363–377. https://doi.org/https://doi.org/10.1007/s12469-018-0184-4
- He, W., Tian, X., Hung, A., Akula, V., & Zhang, W. (2018). Measuring and comparing service quality metrics through social media analytics: A case study. Information Systems and E-Business Management, 16(3), 579–600. https://doi.org/https://doi.org/10.1007/s10257-017-0360-0
- Herjanto, H., Erickson, E., & Calleja, N. F. (2017). Antecedents of business travelers’ satisfaction. Journal of Hospitality Marketing & Management, 26(3), 259–275. https://doi.org/https://doi.org/10.1080/19368623.2017.1234954
- 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. https://doi.org/https://doi.org/10.1016/j.tourman.2019.01.002
- Ju, Y., Back, K. J., Choi, Y., & Lee, J. S. (2019). Exploring airbnb service quality attributes and their asymmetric effects on customer satisfaction. International Journal of Hospitality Management, 77(July 2018), 342–352. https://doi.org/https://doi.org/10.1016/j.ijhm.2018.07.014
- Kim, B., Kim, S., & Heo, C. Y. (2016). Analysis of satisfiers and dissatisfiers in online hotel reviews on social media. International Journal of Contemporary Hospitality Management, 28(9), 1915–1936. https://doi.org/https://doi.org/10.1108/IJCHM-04-2015-0177
- Kim, D., Seo, D., Cho, S., & Kang, P. (2019). Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec. Information Sciences, 477, 15–29. https://doi.org/https://doi.org/10.1016/j.ins.2018.10.006
- Köseoglu, M. A., Mehraliyev, F., Altin, M., & Okumus, F. (2019). Competitor intelligence and analysis (CIA) model and online reviews: Integrating big data text mining with network analysis for strategic analysis. Tourism Review, ahead-of-print(ahead-of-print). https://doi.org/https://doi.org/10.1108/TR-10-2019-0406
- Lee, M., Cai, Y. J., DeFranco, A., & Lee, J. (2020). Exploring influential factors affecting guest satisfaction big data and business analytics in consumer-generated reviews. Journal of Hospitality and Tourism Technology, 11(1), 137–153. https://doi.org/https://doi.org/10.1108/JHTT-07-2018-0054
- Li, H., Ye, Q., & Law, R. (2013). Determinants of customer satisfaction in the hotel industry: an application of online review analysis. Asia Pacific Journal of Tourism Research, 18(7), 784–802. https://doi.org/https://doi.org/10.1080/10941665.2012.708351
- Liu, Y., Teichert, T., Rossi, M., Li, H., & Hu, F. (2017). Big data for big insights: investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews. Tourism Management, 59, 554–563. https://doi.org/https://doi.org/10.1016/j.tourman.2016.08.012
- Ma, E., Cheng, M., & Hsiao, A. (2018). Sentiment analysis – A review and agenda for future research in hospitality contexts. International Journal of Contemporary Hospitality Management, 30(11), 3287–3308. https://doi.org/https://doi.org/10.1108/IJCHM-10-2017-0704
- Malik, S. A., Akhtar, F., Raziq, M. M., & Ahmad, M. (2020). Measuring service quality perceptions of customers in the hotel industry of Pakistan. Total Quality Management and Business Excellence, 31(3–4), 263–278. https://doi.org/https://doi.org/10.1080/14783363.2018.1426451
- Martin, D. W. (1995). An importance/performance analysis of service providers’ perception of quality service in the hotel industry. Journal of Hospitality & Leisure Marketing, 3(1), 5–17. https://doi.org/https://doi.org/10.1300/J150v03n01_02
- Martin-Domingo, L., Martín, J. C., & Mandsberg, G. (2019). Social media as a resource for sentiment analysis of airport service quality (ASQ). Journal of Air Transport Management, 78, 106–115. https://doi.org/https://doi.org/10.1016/j.jairtraman.2019.01.004
- Nicoli, N., & Papadopoulou, E. (2017). TripAdvisor and reputation: A case study of the hotel industry in Cyprus. EuroMed Journal of Business, 12(3), 316–334. https://doi.org/https://doi.org/10.1108/EMJB-11-2016-0031
- Nisar, T. M., & Prabhakar, G. (2018). Trains and twitter: firm generated content, consumer relationship management and message framing. Transportation Research Part A: Policy and Practice, 113, 318–334. https://doi.org/https://doi.org/10.1016/j.tra.2018.04.026
- Padma, P., & Ahn, J. (2020). Guest satisfaction & dissatisfaction in luxury hotels: an application of big data. International Journal of Hospitality Management, 84, 1-8. https://doi.org/https://doi.org/10.1016/j.ijhm.2019.102318
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50. https://doi.org/https://doi.org/10.1177/002224298504900403
- Phillips, P., Barnes, S., Zigan, K., & Schegg, R. (2017). Understanding the impact of online reviews on hotel performance: an empirical analysis. Journal of Travel Research, 56(2), 235–249. https://doi.org/https://doi.org/10.1177/0047287516636481
- Rios-Martin, M. A., Folgado-Fernandez, J. A., Palos-Sanchez, P. R., & Castejon-Jimenez, P. (2020). The impact of the environmental quality of online feedback and satisfaction when exploring the critical factors for luxury hotels. Sustainability, 12(1), 1-24. https://doi.org/https://doi.org/10.3390/su12010299
- Sanchez-Franco, M. J., Cepeda-Carrion, G., & Roldán, J. L. (2019). Understanding relationship quality in hospitality services: A study based on text analytics and partial least squares. Internet Research, 29(3), 478–503. https://doi.org/https://doi.org/10.1108/IntR-12-2017-0531
- Sann, R., & Lai, P.-C. (2020a). Do expectations towards thai hospitality differ? the views of english vs Chinese speaking travelers. International Journal of Culture Tourism and Hospitality Research, 15(1), 43–58. https://doi.org/https://doi.org/10.1108/IJCTHR-01-2020-0010
- Sann, R., & Lai, P.-C. (2020b). Understanding homophily of service failure within the hotel guest cycle: applying NLP-aspect-based sentiment analysis to the hospitality industry. International Journal of Hospitality Management, 91, 1-13. https://doi.org/https://doi.org/10.1016/j.ijhm.2020.102678
- Sann, R., Lai, P.-C., & Liaw, S.-Y. (2020). Online complaining behavior: Does cultural background and hotel class matter?. Journal of Hospitality and Tourism Management, 43, 80–90. https://doi.org/https://doi.org/10.1016/j.jhtm.2020.02.004
- Sarkar, D. (2019). Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing. Apress. https://doi.org/https://doi.org/10.1007/978-1-4842-4354-1.
- Sun, S., Tong, K. T., & Law, R. (2017). Chinese hotel guest perception of international chain hotels under the same hotel brand in different travel destinations: the cases of intercontinental and Sheraton. Journal of Vacation Marketing, 23(2), 172–188. https://doi.org/https://doi.org/10.1177/1356766715614344
- Taecharungroj, V., & Mathayomchan, B. (2019). Analysing tripAdvisor reviews of tourist attractions in Phuket, Thailand. Tourism Management, 75, 550–568. https://doi.org/https://doi.org/10.1016/j.tourman.2019.06.020
- Tontini, G., Bento, G. D., Milbratz, T. C., Volles, B. K., & Ferrari, D. (2017). Exploring the nonlinear impact of critical incidents on customers’ general evaluation of hospitality services. International Journal of Hospitality Management, 66, 106–116. https://doi.org/https://doi.org/10.1016/j.ijhm.2017.07.011
- 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/https://doi.org/10.1007/978-3-030-14815-7_33
- Tripadvisor. (2020). UK press center|about tripAdvisor. https://tripadvisor.mediaroom.com/uk-about-us
- WTTC. World Travel & Tourism Council. (2018a). Domestic tourism: Importance and economic impact. In World Travel & Tourism Council.https://www.wttc.org/publications/2018/domestic-tourism/
- WTTC. World Travel & Tourism Council. (2018b). Travel & tourism: power and performance. https://www.wttc.org/-/media/files/reports/2018/power-and-performance-rankings-2018.pdf
- Wu, M.-Y., Pearce, P., & Dong, W. (2017). How satisfying are Shanghai’s superior hotels? the views of international tourists. International Journal of Contemporary Hospitality Management, 29(4), 1096–1115. https://doi.org/https://doi.org/10.1108/IJCHM-01-2015-0014
- 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. https://doi.org/https://doi.org/10.1016/j.tourman.2016.10.001
- 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/https://doi.org/10.1108/IJCHM-03-2017-0171
- Xu, X., & Li, Y. (2016). The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach. International Journal of Hospitality Management, 55, 57–69. https://doi.org/https://doi.org/10.1016/j.ijhm.2016.03.003
- Ying, S., Chan, J. H., & Qi, X. (2020). Why are Chinese and North American guests satisfied or dissatisfied with hotels? an application of big data analysis. International Journal of Contemporary Hospitality Management, 32(10), 3249–3269. https://doi.org/https://doi.org/10.1108/IJCHM-02-2020-0129