- 年份:2019 年
- 編號:132
- Topic分類:4
- Topic分數:0.4252745326
- Publish:LIBER Quarterly: The Journal of the Association of European Research Libraries.
- 作者:Osma Suominen
Keywords:metadata, automated subject indexing, natural language process ing, machine learning
Abstract:AnnifDIY automated subject indexing using multiple algorithms Manually indexing documents for subject-based access is a labour-intensive processWe propose using metadata gathered from bibliographic databases to train algorithms that assist librarians in that workWe have developed Annifan open source tool and m Retrieval and Indexing The subject of this literature is Annifan open-source tool that uses multiple algorithms for automatic subject indexing
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