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 …

Purpose This study aims to conduct a systematic review and critically analyze the sentiment
analysis literature in hospitality and tourism from methodological (data sets and analyzes) …

Online food delivery (OFD) apps are changing the way we consume food. Despite
increasing the popularity of OFD apps, limited studies have explored the reason behind …

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 …

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 …

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

The study investigates relative effectiveness of four sentiment analysis techniques:(1)
unsupervised lexicon-based model using SentiWordNet,(2) traditional supervised machine …

Purpose This paper investigates the usage and trust of Chinese social media in the travel
planning process (pre-trip, during-trip and post-trip) of Chinese tourists …

The purpose of this study is to conduct topic modeling and sentiment analysis on the posts of
Skytrax (airlinequality. com), where there are many interests and participation of the people …

Humans in hospitality areas are being replaced by robot concierges, delivery robots,
chatbots, and information assistants through a variety of devices, for example, mobile apps …