An explainable deep learning approach for multi-class news classification

In today's information-driven world, the rapid growth of digital news content demands efficient and interpretable classification systems. This research presents using a hybrid Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-BiLSTM) model, enhanced with SHapley Additiv...

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Bibliographic Details

Main Authors:	Tomal, Md Raihanul Islam, Kohbalan, Moorthy, Mazlina, Abdul Majid, Muhammad Akmal, Remli, Pratondo, Agus
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/46036/7/An%20explainable%20deep%20learning%20approach%20for%20multiclass%20news%20classification.pdf https://umpir.ump.edu.my/id/eprint/46036/ https://doi.org/10.1109/ICSECS65227.2025.11278958
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