A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI

A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI

Abstract The interest in data-centric AI has been recently growing. As opposed to model-centric AI, data-centric approaches aim at iteratively and systematically improving the data throughout the model life cycle rather than in a single pre-processing step. The merits of such an approach have not be...

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Bibliographic Details
Main Authors: Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Arabic emotion analysis
Explainable AI
XAI
Machine learning
LIME
SHAP
Online Access:https://doi.org/10.1038/s41598-025-13452-y
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https://doi.org/10.1038/s41598-025-13452-y

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