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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-12-01
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| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-27497-6 |
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