Propagation-Based Domain-Transferable Gradual Sentiment Analysis

Célia Pereira; Claude Pasquier; Andrea Tettamanzi

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Paper

Propagation-Based Domain-Transferable Gradual Sentiment Analysis

Topics: Data Mining; Fuzzy Systems; Natural Language Processing

In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 520-527, 2025 , Porto, Portugal

Authors: Célia da Costa Pereira ¹ ; Claude Pasquier ¹ and Andrea Tettamanzi ²

Affiliations: ¹ Université Côte d’Azur, I3S, CNRS, Sophia Antipolis, France ; ² Université Côte d’Azur, I3S, Inria, Sophia Antipolis, France

Keyword(s): Sentiment Analysis, Fuzzy Polarity Propagation.

Abstract: We propose a novel refinement of a gradual polarity propagation method to learn the polarities of concepts and their uncertainties with respect to various domains from a labeled corpus. Our contribution consists of introducing a positive correction term in the polarity propagation equation to counterbalance negative psychological bias in reviews. The proposed approach is evaluated using a standard benchmark, showing an improved performance relative to the state of the art, good cross-domain transfer and excellent coverage.

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Paper citation in several formats:

Pereira, C. C., Pasquier, C. and Tettamanzi, A. (2025). Propagation-Based Domain-Transferable Gradual Sentiment Analysis. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5; ISSN 2184-433X, SciTePress, pages 520-527. DOI: 10.5220/0013158200003890

@conference{icaart25,
author={Célia da Costa Pereira and Claude Pasquier and Andrea Tettamanzi},
title={Propagation-Based Domain-Transferable Gradual Sentiment Analysis},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={520-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013158200003890},
isbn={978-989-758-737-5},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Propagation-Based Domain-Transferable Gradual Sentiment Analysis
SN - 978-989-758-737-5
IS - 2184-433X
AU - Pereira, C.
AU - Pasquier, C.
AU - Tettamanzi, A.
PY - 2025
SP - 520
EP - 527
DO - 10.5220/0013158200003890
PB - SciTePress