Roslyakova N.A., Kanevsky E.A., Boyarsky K.K. IMPLEMENTATION OFTHE SEMI-AUTOMATIC ANALYSIS METHODOLOGY OF STRATEGIC PLANNING DOCUMENTS: AGGLOMERATIONS OFTHE SVERDLOVSK REGION

DOI: https://doi.org/10.15688/ek.jvolsu.2023.3.7

Natalia А. Roslyakova

Candidate of Sciences (Economics), Researcher, Institute for Regional Economic Studies of the Russian Academy of Sciences, Serpukhovskaya St, 38, 190013 Saint Petersburg, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0002-7511-2141

Evgeny A. Kanevsky

Candidate of Sciences (Engineering), Leading Researcher, Institute for Regional Economic Studies of the Russian Academy of Sciences, Serpukhovskaya St, 38, 190013 Saint Petersburg, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0002-1498-4632

Kirill K. Boyarsky

Candidate of Sciences (Physics and Mathematics), Senior Researcher, Institute for Regional Economic Studies of the Russian Academy of Sciences, Serpukhovskaya St, 38, 190013 Saint Petersburg, Russian Federation; Associate Professor, ITMO University, Prosp. Kronverksky, 49a, 197101 Saint Petersburg, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0002-0306-8276


Abstract.The variety of strategic planning documents forms the basis for the development of methods for the analytical processing of such texts and the allocation of key semantic structures in them. There are three agglomerations in the Sverdlovsk region, including the sixth largest, Yekaterinburg. In this paper, using the example of the analysis of the strategy of socio-economic development of the Sverdlovsk region, a method of preliminary text processing and generalization of semantic constructions is proposed for the purpose of visual and concentrated representation of the key meanings embedded in the document. The use of a content analyzer and a semantic-syntactic parser provides various forms of presentation of the results, which allows solving the task of identifying meaningful language constructs. In the next stage, by means of the word cloud construction toolkit, which takes into account the frequency of mention and the strength of the connection of words in preprocessed data from strategy texts, generalizations of semantic constructions in the form of word clouds were obtained. Such tools are a contribution to the processes of pre-planned and planned analytical support, providing increased efficiency and consistency in the process of state and regional strategic planning for territories of different levels.

Key words: agglomeration, strategic planning documents, dictionaries, analysis tools, permutation output, word cloud.

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IMPLEMENTATION OFTHE SEMI-AUTOMATIC ANALYSIS METHODOLOGY OF STRATEGIC PLANNING DOCUMENTS: AGGLOMERATIONS OFTHE SVERDLOVSK REGION by Roslyakova N.A., Kanevsky E.A., Boyarsky K.K. is licensed under a Creative Commons Attribution 4.0 International License.

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