This paper presents the framework and results of the Rest-Mex task at IberLEF 2023,
focusing on sentiment analysis and text clustering of tourist texts. The study primarily focuses …

Purpose This study aims to present a framework for automatically collecting, cleaning and
analyzing text (news articles, in this case) to provide valuable decision-making information …

Automatic discovery of underlying themes in a document collection is a valuable task across
many disciplines. Advanced techniques can be challenging for non-experts in data science …

In the era of digitalization, the interaction between humans and machines, particularly in
Natural Language Processing, has gained crucial importance. This study focuses on …

In the tourism industry, the implementation of effective strategies to promote destinations is
considered of utmost importance. Taking advantage of social media, Destination …

Cultural heritage is a significant resource of knowledge that allows us to inform about and
enhance such communities in the cultural tourism market. In this respect, it is important to …

Destination image has been a subject of great interest to tourism scholars for several
decades. Since the nature of this social construct is highly dynamic, its study poses new …

This paper summarizes the results of experimenting with Universal Dependencies (UD)
adaptation of an Unsupervised, Compositional and Recursive (UCR) rule-based approach …

The BUAA team's participation in REST-MEX 2023 and focuses on their exploration of
essential features that capture writing style, such as character n-grams, as well as thematic …

In this study, we employed ChatGPT, an advanced large language model, to analyze hotel
reviews, focusing on aspect-based feedback to understand service failures in the hospitality …