Abstract
We present a novel algorithm of document categorization, assigning multiple labels out of a large set of hierarchically arranged (but not necessarily tree-like) set of possible categories. It extends our Wikipedia-based method presented in [1] via unsupervised aggregation (generalization) of document categories. We compare resulting categorization with the original (not aggregated) version and with the variant which transforms categories to a manually selected set of labels.
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References
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Borkowski, P., Ciesielski, K., Kłopotek, M.A. (2014). Unsupervised Aggregation of Categories for Document Labelling. In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_34
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DOI: https://doi.org/10.1007/978-3-319-08326-1_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08325-4
Online ISBN: 978-3-319-08326-1
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