This study analyzes how customers' online review sentiments (positive, negative, and
neutral valence) and lodging experience vary across luxury, mid-tier, and low-tier hotels …

Most recent edge and fog computing architectures aim at pushing cloud-native traits at the
edge of the network, reducing latency, power consumption, and network overhead, allowing …

We investigate the mechanisms of investors' herding behavior using machine learning and
textural data analysis from social media and the impact of sentiment in forming the herding …

Spatial data have become indispensable across various disciplines and provide crucial
insights. These data are associated with coordinates and different coordinate systems …

Abstract This study combines Prospect Theory and quantile mediation analysis to explore
the impact of customer experience (CX) on Word-of-mouth Marketing (WOMM) for Michelin …

This paper aims to present a comparative analysis of the impact of food quality and service
quality on the overall satisfaction of guests who rate restaurants on the TripAdvisor website …

Ugostiteljska delatnost podrazumeva pružanje usluga smeštaja i usluživanja hrane i pića.
Prvi objekti koji su podsećali na današnje ugostiteljske objekte sežu u daleku prošlost i …

In an era where digital platforms are transforming consumer behaviour, online reviews on
platforms such as TripAdvisor have gained increased significance within the global tourism …

Group recommendation has gained increasing importance due to its wide range of
applications across diverse scenarios. However, existing recommender systems face …

This thesis tackles the five challenges in tourism data science, including tourist arrivals
forecasting, topic analysis, fake review detection, sentiment analysis, and review rating …