ExplainableDetector: Exploring transformer-based language modeling approach for SMS spam detection with explainability analysis

Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam. With the rapid adoption of smartphones and increased Internet connectivity, SMS spam has emerged as a prevalent...

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Autores principales:	Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	KeAi Communications Co., Ltd. 2025-10-01
Colección:	Digital Communications and Networks
Materias:	Cybersecurity Machine learning Large language model Spam detection Text analytics Explainable AI
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S235286482500118X
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