The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …

Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

There are numerous arguments regarding the attitudes of different tourists and scenic
destination managers regarding virtual tourism. However, it remains difficult to understand …

Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …

The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

This study seeks to understand the most important features of active social media
engagement among followers of a food and beverage sales organization, and the impact of …

This research aims to assess air travelers' concerns affected by the Coronavirus pandemic,
expressed in the comments they wrote online. A sample of 639 comments written on the …

Deciphering user purchase preferences, their likes and dislikes is a very tricky task even for
humans, making its automation a very complex job. This research work augments heuristic …

Purpose The dynamic yet volatile nature of tourism and travel industry in a competitive
environment calls for enhanced marketing intelligence and analytics, especially for those …

This research aimed to understand how airline companies are addressing the crisis
generated by the Covid-19 pandemic and handling issues like cancellations and customer …