Unsupervised Multi-label Text Classification Using a World Knowledge Ontology

Abstract

The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories and the accuracy of classifiers learned from samples. When training samples are unavailable or… (More)
DOI: 10.1007/978-3-642-30217-6_40

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