A weighted difference loss approach for enhancing multi-label classification

A weighted difference loss approach for enhancing multi-label classification

Abstract Conventional multi-label classification methods often fail to capture the dynamic relationships and relative intensity shifts between labels, treating them as independent entities. This limitation is particularly detrimental in tasks like sentiment analysis where emotions co-occur in nuance...

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Bibliographic Details
Main Authors: Qiong Hu, Masrah Azrifah Azmi Murad, Azreen Bin Azman, Nurul Amelina Nasharuddin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Multi-label Sentiment Classification
BERT
Loss Function Optimization
Label Dependency Modeling
Weighted Difference Loss (WDL)
Online Access:https://doi.org/10.1038/s41598-025-09883-2
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https://doi.org/10.1038/s41598-025-09883-2

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