Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/15839
Title: Designing of information system for semantic analysis and classification of issues in service desk system
Authors: Lapina, M. A.
Лапина, М. А.
Keywords: Market make;Reinforcement learning;Algorithmic trading;Machine learning;Market liquidity;Classification (of information)
Issue Date: 2021
Publisher: CEUR-WS
Citation: Lokhacheva, K., Parfenov, D., Lapina, M. Designing of information system for semantic analysis and classification of issues in service desk system // CEUR Workshop Proceedings. - 2021. - Volume 2842. - Pages 70-76
Series/Report no.: CEUR Workshop Proceedings
Abstract: The paper describes the designing of Information System for Semantic Analysis and Classification of Issues in Service Desk System. The concept of a Service Desk system and problems of its using are described; several mathematical models and methods of text analysis and text classification are studied; an analysis of system usage options, construction of a system scheme and a Class diagram were held
URI: http://hdl.handle.net/20.500.12258/15839
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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