Although the crisis caused by COVID-19 has drastically reduced tourism in many renowned
destinations, the hopes of a return to normality are also associated with subdued fears of …

Tourism is entering a phase of intellectual changes characterized by consumer power's
dynamism through social media. The immense amount of internet knowledge has become …

The most commonly used methods in text sentiment analysis are rule-based sentiment
dictionary and machine learning, with the later referring to the use of vectors to represent text …

Purpose Intrigued by the methodological challenges emerging from text complexity, the
purpose of this study is to evaluate the effectiveness of different topic modelling algorithms …

This study explores the consistency between star ratings and sentiments expressed in
online reviews and how they relate to the different components of the customer experience …

With the increase in internet usage, the amount of available textual data has also continued
to increase rapidly. In addition, the development of stronger computers has enabled the …

Augmented reality (AR) is an emergent technology in tourism. However, research
concerning the AR user experience is relatively scarce and seldom addresses the intentions …

In parallel with the progression of technology, the tourism industry has been continuously
confronted with a large amount of data that needs to be systematically analyzed in order to …

Abstract Develo** Recommender Systems (RSs) is particularly interesting in the tourist
domain, where one or more attractions have to be suggested to users based on preferences …

Purpose Overtourism has been identified as a significant global problem with numbers of
negative externalities. The purpose of this paper is to contribute to the establishment of a …