The application of machine learning techniques in the field of tourism is experiencing a
remarkable growth, as they allow to propose efficient solutions to problems present in this …

The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …

Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …

In the past few years, a new crop of transformer-based language models such as Google's
BERT and OpenAI's ChatGPT has become increasingly popular in text analysis, owing their …

News impact analysis has become a common task conducted by finance researchers, which
involves reading and selecting news articles based on themes and sentiments, pairing news …

The proliferation of novel work arrangements, accelerated by the COVID-19 pandemic, has
led to the emergence of remote work trip experiences in which work is conducted within the …

Purpose This study aims to explore the underlying mechanism of human–pet interaction in
pet tourism affecting tourism experiences and daily lives of tourists. The research …

Due to the rapid growth of texts in today's society, much of which is produced via online
social networks in the form of user-generated content, extracting useful information from …

Artwork recommendation is challenging because it requires understanding how users
interact with highly subjective content, the complexity of the concepts embedded within the …

Introduction The utilization of social media presents a promising avenue for the prevention
and management of diabetes. To effectively cater to the diabetes-related knowledge …