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

This research's main objective is to analyse Online Travel Reviews (OTRs) related to tourist
attractions aiming at identifying recurring discussion topics/themes to infer whether travellers …

This paper presents the framework and results from the Rest-Mex task at IberLEF 2022. This
task considered three tracks: Recommendation System, Sentiment Analysis and Covid …

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 …

This work aims to generate classification models that help determine the colour of an
epidemiological semaphore (ES) by analysing online news and being better prepared for …

This study presents an analysis of the Rest-Mex forum task 2021, which is the first
international evaluation event using tourism-related (Online Travels Reviews-OTRs) data …

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 …

Collaborative competitions have gained popularity in the scientific and technological fields.
These competitions involve defining tasks, selecting evaluation scores, and devising result …

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

This paper presents our approach to the Sentiment Analysis Task at REST-MEX 2021. The
goal of the task is to predict the polarity of opinions on Mexican tourist sites. Recent …