A zero-shot prompt learning approach on fine-grained text classification
Abstract Fine-grained classification of social media texts in the military domain is crucial for public opinion analysis yet remains challenging. This is primarily due to the scarcity of high-quality annotated data, the need for deep domain knowledge, and the complexity of processing long-context do...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2026-01-01
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| Серія: | Scientific Reports |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1038/s41598-025-34825-3 |
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