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...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2026-01-01
|
| Schriftenreihe: | Scientific Reports |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-34825-3 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|