Bifurcation of Semi-Automated Subject Indexing Services

Semi-automated subject indexing methods use attributes from metadata descriptions as training data. A survey to shape inclusion of metadata attributes that align a machine learning model within a contextual linguistic domain generated the initial genre targets for experimentation. The second part of...

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Bibliographic Details
Published inLibrary resources & technical services Vol. 68; no. 3
Main Author Hahn, Jim
Format Journal Article
LanguageEnglish
Published Chicago American Library Association 01.01.2024
Subjects
Abstracting and indexing services
Artificial intelligence
Automation
Bifurcations
Collaboration
Forecasts and trends
Indexing
Indexing systems
Machine learning
Market trend/market analysis
Mechanization
Metadata
Software
United States
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