A Study of Automated Topic Labeling Based on Large Language Models
This study proposes an automated topic labeling method based on large language models (LLMs), capable of generating meaningful term and summary labels for each topic within a topic model. Two generation strategies are introduced: Concise Descriptor Labeling (CDL) and Context-Enhanced Labeling (CEL)....
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Taiwan University
2026-06-01
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| coleção: | Journal of Library and Information Studies |
| Assuntos: | |
| Acesso em linha: | https://jlis.lis.ntu.edu.tw/files/journal/j62-2.pdf |
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