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Automatic classification of documents in a natural language: A conceptual model

Automatic classification of documents in a natural language: A conceptual model A conceptual model is proposed for a system whose function is to solve the problem of automatic classification of text documents in a natural language, i.e., to determine whether a new text document belongs to a predefined class. The functional requirements of the future system are given. Various representations of natural language texts, as well as statistical and logical-combinatorial methods of text analysis, are discussed. This work may be of interest to specialists in natural-language processing, data mining, and computational linguistics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Automatic classification of documents in a natural language: A conceptual model

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Publisher
Springer Journals
Copyright
Copyright © 2014 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105514030030
Publisher site
See Article on Publisher Site

Abstract

A conceptual model is proposed for a system whose function is to solve the problem of automatic classification of text documents in a natural language, i.e., to determine whether a new text document belongs to a predefined class. The functional requirements of the future system are given. Various representations of natural language texts, as well as statistical and logical-combinatorial methods of text analysis, are discussed. This work may be of interest to specialists in natural-language processing, data mining, and computational linguistics.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Aug 2, 2014

References