TF-IDF joint SVM model in library automation bias risk assessment system
Abstract To address the bias risk in digital literature resources and the inefficiency of manual review in library automation systems, this study proposes an automated bias risk assessment system that integrates Term Frequency-Inverse Document Frequency (TF-IDF) and Support Vector Machine (SVM) mode...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-02-01
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| coleção: | Discover Artificial Intelligence |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44163-026-00978-x |
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