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Authors: Dli M. I., Bulygina O. V., Kozlov P., Ross G. Published in № 5(77) 30 october 2018 year
Rubric: Information infrastructure

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Developing the economic information system for automated analysis of unstructured text documents

The study of tasks and methods of automated text rubrication was conducted and their prospects for the analysis of unstructured electronic text documents were evaluated taking into account the peculiarities of appeals received from citizens to the authorities. The architecture of the information system of automated analysis of such documents is developed. It implements the proposed multi-model approach to the rubrication based on the integrated use of intelligent and probabilistic-statistical methods. The procedure of processing citizens’appeals received by the authorities using the document management system and the developed information system is given.

Key words

fuzzy logic, neuro-fuzzy classifier, fuzzy decision tree, unstructured electronic text document, rubrication, economic information system, automated analyzing text.

The author:

Dli M. I.

Degree:

Dr. Sci. (Eng.), Professor, Information Technologies in Economics and Management Department, Branch of the National Research University “MPEI” in Smolensk, Smolensk; Leading Researcher, Synergy University

Location:

Smolensk, Russia

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The author:

Bulygina O. V.

Degree:

Cand. Sci. (Econ.), Associate Professor, department of Information Technology in Economics and Management, the Branch of National Research University MPEI in Smolensk