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Boosting multi-label hierarchical text categorization
2008
Information retrieval (Boston)
Hierarchical Text Categorization (HTC) is the task of generating (usually by means of supervised learning algorithms) text classifiers that operate on hierarchically structured classification schemes. Notwithstanding the fact that most large-sized classification schemes for text have a hierarchical structure, so far the attention of text classification researchers has mostly focused on algorithms for "flat" classification, i.e. algorithms that operate on non-hierarchical classification schemes.
doi:10.1007/s10791-008-9047-y
fatcat:rbgapb7shvgllnhgnzsabvnv3a