[HTML][HTML] Applications of big data in emerging management disciplines: A literature review using text mining
AK Kushwaha, AK Kar, YK Dwivedi - International Journal of Information …, 2021 - Elsevier
The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …
management area. The constant access to volume, variety, and veracity of data has made …
Big data and analytics in hospitality and tourism: a systematic literature review
M Mariani, R Baggio - International Journal of Contemporary …, 2022 - emerald.com
Purpose The purpose of this work is to survey the body of research revolving around big
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …
Would you enjoy virtual travel? The characteristics and causes of virtual tourists' sentiment under the influence of the COVID-19 pandemic
SN Zhang, YQ Li, WQ Ruan, CH Liu - Tourism management, 2022 - Elsevier
There are numerous arguments regarding the attitudes of different tourists and scenic
destination managers regarding virtual tourism. However, it remains difficult to understand …
destination managers regarding virtual tourism. However, it remains difficult to understand …
Timed intervention in COVID-19 and panic buying
In view of 2020 outbreak of the pandemic COVID-19, the paper examines the relationship
between government measures for combating the pandemic and their side effects. Panic …
between government measures for combating the pandemic and their side effects. Panic …
Big data empowered agility for dynamic, volatile, and time-sensitive service industries: the case of tourism sector
Purpose Dynamic, volatile, and time-sensitive industries, such as tourism, travel and
hospitality require agility and market intelligence to create value and achieve competitive …
hospitality require agility and market intelligence to create value and achieve competitive …
Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic
Y Luo, X Xu - International Journal of Hospitality Management, 2021 - Elsevier
Online reviews remain important during the COVID-19 pandemic as they help customers
make safe dining decisions. To help restaurants better understand customers' needs and …
make safe dining decisions. To help restaurants better understand customers' needs and …
Dealing with pandemics: An investigation of the effects of COVID-19 on customers' evaluations of hospitality services
The hospitality industry is highly vulnerable to pandemics. However, little is known about
how pandemics alter travelers' evaluations of hospitality services. Therefore, this study …
how pandemics alter travelers' evaluations of hospitality services. Therefore, this study …
Tourism recommendation system based on semantic clustering and sentiment analysis
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …
them on web and social platforms have made the decision-making process for selecting and …
[HTML][HTML] Transformer-based deep learning models for the sentiment analysis of social media data
ST Kokab, S Asghar, S Naz - Array, 2022 - Elsevier
Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …
and subjective information from text-based data. It applies on Natural Language Processing …
Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews
Robots and artificial intelligence are essential to the future of the hospitality industry, and
they are receiving increasing interest from hotel managers and researchers. However, the …
they are receiving increasing interest from hotel managers and researchers. However, the …