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Register a new userSemantic classifier approach to document classification
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Mieczys{\\l}aw K{\\l}opotek
Publication date
2017
fields
Informatics Engineering
and research's language is
English
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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).
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