Abstract
This paper deals with classification of flow of messages coming to the local government from various data sources, such as social networks, website of the government, emails, etc. The primary data, which is extracted from various sources, is stored in the NoSQL database. Further, using special methods and developed applications, the data is classified and sent to the relevant departments. The article focuses on the review of methods and the construction of the architecture of the system of data classification which retrieved from social networks, website of the local government, emails, etc.
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Acknowledgment
This work has been done in the framework of the grant given by Ministry of Education and Science of the Republic of Kazakhstan (Grant No. 0218PК01178).
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Uskenbayeva, R., Moldagulova, A., Mukazhanov, N.K. (2020). Creation of Data Classification System for Local Administration. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_76
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DOI: https://doi.org/10.1007/978-3-030-21803-4_76
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