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The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data


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Abstract

In this paper decision support algorithm for choosing the processing means of natural language big data arrays is proposed. In the process the algorithm uses the program for evaluating the effectiveness of text analyzers. This program is based on the operation of a fuzzy choice system, which serves to calculate the integral indicator of the text analyzer effectiveness. The quality and efficiency of getting answers to test questions are taken into account when evaluating the effectiveness of text analyzers.

About the authors

S. Lazarev

Belgorod State University

Author for correspondence.
Email: lazarev_s@bsu.edu.ru
Russian Federation, Belgorod, 308015

O. Polshchykova

Belgorod State University

Author for correspondence.
Email: polshchikova@bsu.edu.ru
Russian Federation, Belgorod, 308015

E. Igityan

Belgorod State University

Author for correspondence.
Email: medvedeva_e@bsu.edu.ru
Russian Federation, Belgorod, 308015

K. Polshchykov

Belgorod State University

Author for correspondence.
Email: polshchikov@bsu.edu.ru
Russian Federation, Belgorod, 308015

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