Review of tourism forecasting research with internet data
Internet techniques significantly influence the tourism industry and Internet data have been
used widely used in tourism and hospitality research. However, reviews on the recent …
used widely used in tourism and hospitality research. However, reviews on the recent …
The past, present, and future of smart tourism destinations: a bibliometric analysis
AB Bastidas-Manzano… - … of Hospitality & …, 2021 - journals.sagepub.com
Despite the emergence of the notion of smart tourism destinations in tourism research, few
studies have delved deeply into the topic, and the little research focusing on the subject has …
studies have delved deeply into the topic, and the little research focusing on the subject has …
Forecasting tourism demand with multisource big data
Based on internet big data from multiple sources (ie, the Baidu search engine and two
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount …
Tourism demand forecasting using tourist-generated online review data
This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …
speaking countries. A new direction in tourism demand modeling and forecasting is …
Tourism demand forecasting with online news data mining
This study empirically tests the role of news discourse in forecasting tourist arrivals by
examining Hong Kong. It employs structural topic modeling to identify key topics and their …
examining Hong Kong. It employs structural topic modeling to identify key topics and their …
[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions
MÁ Álvarez-Carmona, R Aranda… - Journal of King Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …
considerable changes in the tourism industry. Artificial intelligence, in particular natural …
Knowledge mapping of tourism demand forecasting research
Utilizing a scientometric review of global trends and structure from 388 bibliographic records
over two decades (1999–2018), this study seeks to advance the building of comprehensive …
over two decades (1999–2018), this study seeks to advance the building of comprehensive …
[HTML][HTML] Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
DT Andariesta, M Wasesa - Journal of Tourism Futures, 2022 - emerald.com
Purpose This research presents machine learning models for predicting international tourist
arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data …
arrivals in Indonesia during the COVID-19 pandemic using multisource Internet data …
Forecasting hourly attraction tourist volume with search engine and social media data for decision support
Developing a tourism forecasting function in decision support systems has become critical
for businesses and governments. The existing forecasting models considering spatial …
for businesses and governments. The existing forecasting models considering spatial …
Does tourism matter in measuring community resilience?
As damage from natural hazards is increasing, quantifying community resilience is a top
priority in enhancing communities' ability to prepare for and recover from disasters. This …
priority in enhancing communities' ability to prepare for and recover from disasters. This …