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Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches

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Published in:VFAST Transactions on Software Engineering
Format: Online Article RSS Article
Published: 2026
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container_title VFAST Transactions on Software Engineering
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spellingShingle Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
Software
General
Software
sub_discipline_display General
sub_discipline_facet General
subject_display Software
General
Software
Software
General
Software
subject_facet Software
General
Software
title Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_auth Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_full Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_fullStr Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_full_unstemmed Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_short Model Interpretability with XAI for Sarcastic Behavior Detection in Low-Resource Roman Urdu Language using Machine Learning and Ensembled Approaches
title_sort model interpretability with xai for sarcastic behavior detection in low-resource roman urdu language using machine learning and ensembled approaches
topic Software
General
Software
url https://vfast.org/journals/index.php/VTSE/article/view/2343