Using AI to Auto-Tag Graduate Theses
Document Type
Article
Conference or Event Name
Information Technology and Libraries (ital)
Publication Date
2025
Original File URL
https://doi.org/10.5860/ital.v44i4.17381
Abstract
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.
Recommended Citation
Morgan, Kyle, "Using AI to Auto-Tag Graduate Theses" (2025). Cal Poly Humboldt Library. 9.
https://digitalcommons.humboldt.edu/librarian/9