Abstract
Representing and interpreting human opinions within an unstructured framework is inherently complex. Hesitant fuzzy linguistic term sets offer a comprehensive context that facilitates a nuanced understanding of diverse perspectives. This study introduces a methodology that integrates sentiment analysis with hesitant fuzzy linguistic term sets to effectively aggregate and compare news from diverse sources. By employing linguistic scales, our approach enhances the interpretation of various perceptions and attitudes, facilitating comprehensive knowledge extraction and representation. The main objective of this research is to conduct a comparative analysis of news coverage across European countries in relation to the Israel–Gaza war. This analysis aims to capture the multifaceted sensitivities surrounding the ongoing situation, highlighting how different nations perceive the conflict.
Author supplied keywords
Cite
CITATION STYLE
Abuasaker, W., Sánchez, M., Nguyen, J., Agell, N., Agell, N., & Ruiz, F. J. (2025). A Comparative Analysis of European Media Coverage of the Israel–Gaza War Using Hesitant Fuzzy Linguistic Term Sets. Machine Learning and Knowledge Extraction, 7(1). https://doi.org/10.3390/make7010008
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.