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CHATBOT SOFTWARE TOOL FOR SEARCHING UNSTRUCTURED TEXT DATA BASED ON DOCKER TECHNOLOGY

Filatov Vyacheslav Valeryevich  (PhD (technical sciences), associate professor of «Department of Software Solutions Security», Russian Technological University MIREA)

Koryagin Sergey Viktorovich  (Candidate of Engineering Sciences, Associate Professor of «Management and modeling of systems» department. Russian University of Technology)

Kryazhin Alexander Alexandrovich  (Russian University of Technology)

Andreev Alexander Grigorievich  (Russian University of Technology)

Rusakov Alexey   (Senior Lecturer, Software Solutions Security Department, Russian Technological University MIREA)

This article presents the architecture of a text analytics system for creating text bots, searching for unstructured data based on modern python libraries. A distinctive feature of the developed architecture is the use of docker with accompanying tools in the form of containers, which allow you to run this system on any platform, scaling to any task. The text visualization based on d3js library is also used, which allows to understand the meaning of this text and to describe the main topics considered in the text.

Keywords:morphological analysis, keyword extraction, unstructured data mining, text mining, Docker

 

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Citation link:
Filatov V. V., Koryagin S. V., Kryazhin A. A., Andreev A. G., Rusakov A. CHATBOT SOFTWARE TOOL FOR SEARCHING UNSTRUCTURED TEXT DATA BASED ON DOCKER TECHNOLOGY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№06. -С. 168-173 DOI 10.37882/2223-2966.2023.06.39
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