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Automatic Documentation and Mathematical Linguistics

Erschienen in:

01.05.2021 | AUTOMATED TEXT PROCESSING

A New Method of Automatic Text Document Classification

verfasst von: V. A. Yatsko

Erschienen in: Automatic Documentation and Mathematical Linguistics | Ausgabe 3/2021

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Abstract

This paper describes the procedures and specific features of application of a new method of automatic classification based on calculation of deviations of stop-words distribution from Zipfian score. To neutralize discrepancies in texts lengths the author describes and applies the text undersampling methodology. The concept of an iterative threshold level is introduced to reduce text dimensionality to several dozen units. To evaluate the method’s efficiency the author has developed discriminative and similarative powers indicators that underlie the generalized efficiency score. Fourteen tests have been conducted, including comparison with the cosine similarity measure, that proved high efficiency of the proposed method for the solution of the tasks of authorship attribution of texts of fiction and clusterization of political texts.

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Titel: A New Method of Automatic Text Document Classification
verfasst von: V. A. Yatsko
Publikationsdatum: 01.05.2021
Verlag: Pleiades Publishing
Erschienen in: Automatic Documentation and Mathematical Linguistics / Ausgabe 3/2021
Print ISSN: 0005-1055
Elektronische ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105521030080

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