Qwen TextCNN and BERT models for enhanced multilabel news classification in mobile apps

Abstract Mobile news classification systems face significant challenges due to their large scale and complexity. In this paper, we perform a comprehensive comparative study between traditional classification models, such as TextCNN and BERT based models and Large Language Models (LLMs), for the purp...

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Detalles Bibliográficos

Autores principales:	Dawei Yuan, Guojun Liang, Bin Liu, Suping Liu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-12-01
Colección:	Scientific Reports
Materias:	Multilabel classification Large language models BERT TextCNN Qwen
Acceso en línea:	https://doi.org/10.1038/s41598-025-27497-6
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