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Semantic classifier approach to document classification
[article]
2017
arXiv
pre-print
In this paper we propose a new document classification method, bridging discrepancies (so-called semantic gap) between the training set and the application sets of textual data. We demonstrate its superiority over classical text classification approaches, including traditional classifier ensembles. The method consists in combining a document categorization technique with a single classifier or a classifier ensemble (SEMCOM algorithm - Committee with Semantic Categorizer).
arXiv:1701.04292v1
fatcat:lzwwf3l3rzhr3ovuqzfwrwgx2u