C&SA | Contents

Volume 57 >>> № 2 MARCH — APRIL 2021

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UDC 303.732+004.62+004.912+351/354

M. Zgurovsky¹, D. Lande², A. Boldak³, K. Yefremov⁴, M. Perestyuk⁵

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

zgurovsm@hotmail.com

² Institute for Information Recording, National Academy
of Sciences of Ukraine, Kyiv, Ukraine

dwlande@gmail.com

³ National Technical University of Ukraine
“Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine

boldak.andrey@gmail.com

⁴ World Data Center for Geoinformatics and Sustainable Development of National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine

k.yefremov@gmail.com

⁵ National Technical University of Ukraine
“Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine

maria@perestyuk.com

LINGUISTIC ANALYSIS OF INTERNET MEDIA AND SOCIAL NETWORKS DATA
IN PROBLEMS ON ASSESSMENT OF SOCIAL TRANSFORMATIONS

Abstract. A combined approach has been developed to assess the effectiveness of social transformations as a measure of inconsistency between the actions of the authorities and the expectations of society and the synergy (social activity) of people, based on formalized coordination of the results obtained by the method of expert assessments and methods of sentiment analysis and intelligent analysis of text messages from open online sources and social networks. These methods are implemented as a set of web services and applications in the development environment of the Advanced Analytics integrated online platform of the World Data Center “Geoinformatics and Sustainable Development”. The effectiveness of the proposed approach is demonstrated by the example of a quantitative assessment of the attitude of the population of Ukraine to the actions of the authorities aimed at countering the spread of the COVID-19 epidemic.

Keywords: vector of government actions, vector of society’s expectations, vector of transformations (reforms), linguistic analysis, content analysis, linguistic sentiment analysis of Internet media data and social networks, open source intelligence.

FULL TEXT

REFERENCES

Zgurovsky M., Boldak A., Yefremov K. et al. Foresight and construction of the strategies of socio-economic development of Ukraine on mid-term (up to 2020) and long-term (up to 2030) time horizons. Scientific advisor of the project acad. of NAS of Ukraine M. Zgurovsky. International Council for Science etc. 2nd ed. Kyiv: NTUU «Igor Sikorsky KPI», Publ. house «Polytechnica», 2016. 184 p. URL: http://wdc.org.ua/en/ node/186284.

Pozzi F.A., Fersini E., Messina E., Liu B. Sentiment analysis in social networks. Morgan Kaufmann, 2017. 284 p.

Dodonov A.G., Lande D.V., Putyatin V.G. Computer networks and analytical research [in Russian]. Kiev: IPRI NAS of Ukraine, 2014. 486 p.

Lande D.V. Basics of information flow integration [in Russian]. Kiev: "Engineering", 2006. 240 p.

Application «PRO ET CONTRA». URL: https://jace-dev.herokuapp.com/design/proetcontra#/.

Online platform Advanced Analytics SDC-Ukraine. URL: http://open.wdc.org.ua/#/.

Korenko D., Boldak A. Approach to organization of client-server interaction for implementation of model-view-controller pattern in distributed systems. Proc. International Conference on Security, Fault Tolerance, Intelligence (ICSFTI2019) (14–15 Мay 2019, Kyiv, Ukraine). Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, Publ. house «Polytechnica», 2019. P. 182–187.

Boldak A., Yefremov K. WDC-Ukraine’s distributed platform for supporting research data life cycle. Proc. 17th International Conference on System Fnalysis and Information Technologies (SAIT 2015) (22–25 June 2015, Kyiv, Ukraine). Kyiv, 2015. P. 210–211.

UDC 303.732+004.62+004.912+351/354

LINGUISTIC ANALYSIS OF INTERNET MEDIA AND SOCIAL NETWORKS DATA IN PROBLEMS ON ASSESSMENT OF SOCIAL TRANSFORMATIONS

REFERENCES

LINGUISTIC ANALYSIS OF INTERNET MEDIA AND SOCIAL NETWORKS DATA
IN PROBLEMS ON ASSESSMENT OF SOCIAL TRANSFORMATIONS