Hybrid Approach to Explain BERT Model: Sentiment Analysis Case

Aroua Hedhili; Aroua Hedhili; Islem Bouallagui; Islem Bouallagui

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Paper

Hybrid Approach to Explain BERT Model: Sentiment Analysis Case

Topics: Explainable Artificial Intelligence

In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, 251-259, 2024 , Rome, Italy

Authors: Aroua Hedhili ^{1

;

2} and Islem Bouallagui ^{1

;

2}

Affiliations: ¹ National School of Computer Sciences, Manouba University, Manouba 2010, Tunisia ; ² Research Lab: LAboratory of Research in Artificial Intelligence LARIA, ENSI, University of Manouba,Tunisia

Keyword(s): Counterfactual Explanation, Domain Knowledge, User-Centric Approach, BERT.

Abstract: The increasing use of Artificial Intelligence (AI), particularly Deep Neural Networks (DNNs), has raised concerns about the opacity of these ’black box’ models in decision-making processes. Explainable AI (XAI) has emerged to address this issue by making AI systems more understandable and trustworthy through various techniques. In this research paper, we deal with a new approach to explain model combining counterfactual explanations and domain knowledge visualization. Our contribution explores how domain knowledge, guided by expert decision-makers, can improve the effectiveness of counterfactual explanations. Additionally, the presented research underscores the significance of collecting user feedback to create a human-centered approach. Our experiments were conducted on a BERT model for sentiment analysis on IMDB movie reviews dataset.

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Paper citation in several formats:

Hedhili, A. and Bouallagui, I. (2024). Hybrid Approach to Explain BERT Model: Sentiment Analysis Case. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 251-259. DOI: 10.5220/0012318400003636

@conference{icaart24,
author={Aroua Hedhili. and Islem Bouallagui.},
title={Hybrid Approach to Explain BERT Model: Sentiment Analysis Case},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={251-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012318400003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Hybrid Approach to Explain BERT Model: Sentiment Analysis Case
SN - 978-989-758-680-4
IS - 2184-433X
AU - Hedhili, A.
AU - Bouallagui, I.
PY - 2024
SP - 251
EP - 259
DO - 10.5220/0012318400003636
PB - SciTePress