@inproceedings{8229de9cc0a747479585c88b9adb97a1,
title = "Continuous Perceptual Maps for Interpreting Linguistic Ratings via Sentiment Analysis",
abstract = "Continuous perceptual maps present a novel approach to refining rating scales by capturing nuanced interpretation of subjective opinions. These maps integrate linguistic rating scales with sentiment analysis to provide a richer representation of user evaluations. We use the concept of a linguistic perceptual map to differentiate user rating profiles and sentiment analysis, derived from textual feedback, to enhance the granularity of these ratings. The continuous perceptual map framework offers a robust platform for projecting, comparing, and aggregating user evaluations. In this study, we formally introduce the continuous perceptual map, along with measures of centrality, enabling a more comprehensive description of evaluations from diverse user groups. The practical value of this approach is illustrated through a case example on book reviews, highlighting its effectiveness in real-world applications.",
keywords = "Information Aggregation, Linguistic Perceptual Maps, Rating scales, Sentiment Analysis",
author = "Walaa Abuasaker and Jennifer Nguyen and N{\'u}ria Agell and Ruiz, \{Francisco J.\} and M{\'o}nica S{\'a}nchez",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 27th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2025 ; Conference date: 15-10-2025 Through 17-10-2025",
year = "2025",
month = sep,
day = "22",
doi = "10.3233/FAIA250591",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "174--182",
editor = "Karla Trejo and Isabel Aguilo and Riera, \{Juan Vicente\} and Jordi Pascual",
booktitle = "Artificial Intelligence Research and Development - Proceedings of the 27th International Conference of the Catalan Association for Artificial Intelligence",
address = "Netherlands",
}