Automatic classification of older electronic texts into the Universal Decimal Classification-UDC

Automatic classification of older electronic texts into the Universal Decimal Classification-UDC

Keywords:Digital library, Artificial intelligence, Machine learning, Text classification, Older texts, Universal Decimal Classification
Abstract:Automatic classification of older electronic texts into the Universal Decimal Classification-UDC Purpose The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal ClassificationUDCusing machine-learning methodsDesignmethodologyapproach The general research approach is inheren Library Automation and Retrieval and IndexingIt assists in automatically classifying old texts in the digital library collection into an organized UDC systemMachine learning categoryspecifically using supervised learning techniques for text classification