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. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Borkowski, P., Ciesielski, K., & Kłopotek, M. A. (2014). Unsupervised aggregation of categories for document labelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8502 LNAI, pp. 335–344). Springer Verlag. https://doi.org/10.1007/978-3-319-08326-1_34
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
