| dc.description.abstract | A proper understanding of where and when different sorts of tourists stay is necessary,
also, given the uncertainties surrounding COVID-19, it is crucial to present scientific
analyses of the future of tourism for hotel practitioners. For this purpose, this research
presents a method for examining travelers' spatial and temporal accommodation patterns
using online reviews and investigating the COVID-19 pandemic's effects on tourism
using a two-stage forecast framework. A case study of foreign visitors visiting Vietnam
will be presented, using a big data set made up of 211,862 online reviews in total and
129,334 reviews with complete information of 111 hotels from January 2012 to March
2022. Through the results, hotel demand patterns by season, travel type and specific
location preferences were discovered, and the two-stage forecast methodology helps to
increase the reliability and accuracy of anticipating tourism demand under crisis | en_US |
