Explainable Aspect-Based Sentiment Analysis Using Transformer Models

Explainable Aspect-Based Sentiment Analysis Using Transformer Models

An aspect-based sentiment analysis (ABSA) aims to perform a fine-grained analysis of text to identify sentiments and opinions associated with specific aspects. Recently, transformers and large language models have demonstrated exceptional performance in detecting aspects and determining their associ...

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Bibliographic Details
Main Authors: Isidoros Perikos, Athanasios Diamantopoulos
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Big Data and Cognitive Computing
Subjects:
explainability
transformers
large language models
LIME
SHAP
attention visualization
Online Access:https://www.mdpi.com/2504-2289/8/11/141
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