The algorithm of decision support in the choice of means of processing large amounts of natural language data

Author(s):  K.А. Polshchykov, Dr., associate Professor, Belgorod State National Research University, Belgorod, Russia, polshchikov@bsu.edu.ru

O.N. Polshchikova, candidate of Sciences, Belgorod National Research University, Belgorod, Russia

M.S. Balakshin, Belgorod National Research University, Belgorod, Russia

Issue:  Volume 46, № 3

Rubric:  System analysis and processing of knowledge

Annotation:  Abstract This article presents an overview of the program text analyzers and proposes an algorithm to support decision making on the choice of solutions for processing large arrays of natural language data. 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. To set up a fuzzy choice system, special software and the participation of experts in a given subject area are required. In the process of setting up this system, the membership functions are approximated and the values of their parameters are determined. When evaluating the effectiveness of text analyzers, the quality and efficiency of getting answers to test questions are taken into account. Text analyzer with the highest integral efficiency indicator value is recommended for further use in the relevant subject area. The application of the algorithm presented in the article allows taking the best version of a management decision based on information obtained as a result of processing big data arrays of natural language.

Keywords:  arrays of natural language big data, text analyzer efficiency, decision support algorithm, fuzzy selection system, integral index, approximation of membership functions.

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