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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Detalhes bibliográficos

Principais autores:	Dawei Yuan, Guojun Liang, Bin Liu, Suping Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-12-01
Colecção:	Scientific Reports
Assuntos:	Multilabel classification Large language models BERT TextCNN Qwen
Acesso em linha:	https://doi.org/10.1038/s41598-025-27497-6
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