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Technological Principles of Using Media Content for Evaluating Social Opinion

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System Analysis and Artificial Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1107))

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Abstract

The technological principles of using content from Internet media and social networks to evaluate social phenomena, socially significant events, and social opinion is presented. These principles include new methods of identifying and evaluating information sources, presenting the semantics of documents as a Directed Weighted Network of Terms, allowing implementation search procedures using signs of closeness to the semantics of text messages. The above technological tools are integrated based on microservice architecture for the implementation of a system for evaluating the effectiveness of public opinion. The developed system is part of a single analytical and expert environment based on the concept of the Information and Analytical Situation Center (IASC) of the World Data Center “Geoinformatics and Sustainable Development”, and it is used to solve tasks of intelligent data analysis.

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Acknowledgements

This research was partially supported by the National Research Foundation of Ukraine (2020.01/0283) and the Ministry of Education and Science of Ukraine (0121U109764). We thank our colleagues from the ISC WDS World Data Center for Geoinformatics and Sustainable Development, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, which provided insight and expertise that greatly assisted the research.

Author information

Authors and Affiliations

  1. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

    Michael Zgurovsky

  2. Department of Information Security, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

    Dmytro Lande

  3. World Data Center for Geoinformatics and Sustainable Development, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

    Oleh Dmytrenko, Kostiantyn Yefremov & Artem Soboliev

  4. Department of Computer Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, 03056, Ukraine

    Andriy Boldak

Authors
  1. Michael Zgurovsky
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  2. Dmytro Lande
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  3. Oleh Dmytrenko
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  4. Kostiantyn Yefremov
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  5. Andriy Boldak
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  6. Artem Soboliev
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Corresponding author

Correspondence to Kostiantyn Yefremov .

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Editors and Affiliations

  1. Research Supervisor of the Institute for Applied Systems Analysis, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

    Michael Zgurovsky

  2. Deputy Director for Research of the Institute for Applied Systems Analysis, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

    Nataliya Pankratova

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Zgurovsky, M., Lande, D., Dmytrenko, O., Yefremov, K., Boldak, A., Soboliev, A. (2023). Technological Principles of Using Media Content for Evaluating Social Opinion. In: Zgurovsky, M., Pankratova, N. (eds) System Analysis and Artificial Intelligence . Studies in Computational Intelligence, vol 1107. Springer, Cham. https://doi.org/10.1007/978-3-031-37450-0_22

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