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 …

In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

Extensive research has been conducted on e-tourism spanning a wide range of concepts,
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …

Scholarly work regarding tourist behavior requires more empirical support especially
concerning methods to extract emotions and sentiments from user-generated comments on …

The ability to understand the causes of customers' complaints is critical for hotels to improve
their service quality, customer satisfaction, and revenue. This study adopts a novel structural …

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 …

In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

Advances in artificial intelligence provide new tools of digital assistance that retailers can
use to support consumers while shop**. The aim of this research is to examine how …

In recent decades, smart tourism has been attracting attention from practitioners and
scholars. The current study used multiple analysis methods to conduct a systematic review …

The technological revolution and the widespread of social media have allowed people to
generate tremendous amounts of data every day. Social networks provide users with access …