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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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Bibliografski detalji
Glavni autor: Sung-Chien Lin
Format: Artigo
Jezik:Inglês
Izdano: National Taiwan University 2026-06-01
Serija:Journal of Library and Information Studies
Teme:
Online pristup:https://jlis.lis.ntu.edu.tw/files/journal/j62-2.pdf
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