[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 …

What affects the online ratings of restaurant consumers: a research perspective on text-mining big data analysis

J Liu, Y Yu, F Mehraliyev, S Hu, J Chen - International Journal of …, 2022 - emerald.com
Purpose Despite a significant focus on customer evaluation and sentiment analysis, limited
attention has been paid to discrete emotional perspective in terms of the emotionality used …

A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition

P Wang, J Liu, Z Tao, H Chen - Engineering Applications of Artificial …, 2022 - Elsevier
Accurate carbon price forecasting is essential to reduce carbon dioxide emissions and slow
down global warming. However, a key issue in the carbon trading market is the diversity and …

COVID-19 in Singapore and New Zealand: Newspaper portrayal, crisis management

K Thirumaran, Z Mohammadi, Z Pourabedin… - Tourism Management …, 2021 - Elsevier
News frames influence destination reputation. Research primarily focuses on social media
impact relative to destination reputation. Newspaper reporting is a major source of …

Designing tourist experiences amidst air pollution: A spatial analytical approach using social media

X Zhang, Y Yang, Y Zhang, Z Zhang - Annals of Tourism Research, 2020 - Elsevier
In this study, we propose a spatial analytical framework to better understand tourist
experiences from geotagged social media data in Beijing in 2013. Based on text analytics …

Co-creating a local environmental epidemiology study: the case of citizen science for investigating air pollution and related health risks in Barcelona, Spain

F Gignac, V Righi, R Toran, LP Errandonea, R Ortiz… - Environmental …, 2022 - Springer
Background While the health risks of air pollution attract considerable attention, both
scholarly and within the general population, citizens are rarely involved in environmental …

Selection biases in crowdsourced big data applied to tourism research: An interpretive framework

Y Zheng, Y Zhang, N Mou, T Makkonen, M Li, Y Liu - Tourism Management, 2024 - Elsevier
Crowdsourced big data has faced growing criticism due to its quality issues, particularly
selection biases. We propose an interpretive framework for understanding selection biases …

Analysis of topics and characteristics of user reviews on different online psychological counseling methods

J Liu, L Gao - International Journal of Medical Informatics, 2021 - Elsevier
Background Psychological support is available more widely supported by emerging
technologies as an addition to face-to-face consultations, more and more people are …

[HTML][HTML] Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators

J González-González, F de Arriba-Pérez… - Journal of King Saud …, 2023 - Elsevier
Automatic legal text classification systems have been proposed in the literature to address
knowledge extraction from judgments and detect their aspects. However, most of these …

Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review

FC Manosso, TC Domareski Ruiz - Journal of Tourism, Heritage & …, 2021 - papers.ssrn.com
Purpose: Sentiment analysis is built from the information provided through text (reviews) to
help understand the social sentiment toward their brand, product, or service. The main …