Using AI to Auto-Tag Graduate Theses.
This article presents a practical approach to using artificial intelligence (AI) for tagging graduate theses in an institutional repository with the United Nations Sustainable Development Goals. Utilizing strategies requiring no prior programming experience, the article provides a step-by-step guide...
| Publicado en: | Information Technology & Libraries Vol. 44; no. 4; pp. 1 - 11 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
American Library Association
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This article presents a practical approach to using artificial intelligence (AI) for tagging graduate theses in an institutional repository with the United Nations Sustainable Development Goals. Utilizing strategies requiring no prior programming experience, the article provides a step-by-step guide, cost analysis, and lessons learned from employing two AI-based tagging methods. These methods, attempted with varying degrees of success, highlight the real potential of using AI for the thematic tagging of digital library resources. |
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