The spread and use of social networks provide a rich data source that can be used to
answer a wide range of research questions from various disciplines. However, the nature of …

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

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

Purpose This study aims to contribute to the relevant body of knowledge by examining the
bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS) …

Customer online reviews of hotels have significant business value in the e-commerce and
big data era. Online textual reviews have an open-structured form, and the technical side …

This paper aims to use machine learning (ML) algorithm for natural language pre-
processing (NLP), text mining (TM), and sentiment analysis (SA) techniques to analyze and …

Sports viewers have been offered an unprecedented viewing experience to share their
passion with their team and communicate in real-time with a streamer and other viewers by …

Purpose Guest experience and satisfaction have been central constructs in the hospitality
management literature for decades. In recent years, the use of big data as an increasing …

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

Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …