Semantic classifier approach to document classification
Information Retrieval
2017-01-17 v1 Computation and Language
Abstract
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).
Cite
@article{arxiv.1701.04292,
title = {Semantic classifier approach to document classification},
author = {Piotr Borkowski and Krzysztof Ciesielski and Mieczysław A. Kłopotek},
journal= {arXiv preprint arXiv:1701.04292},
year = {2017}
}