Implementation of the Semi-Automatic Analysis Methodology of Strategic Planning Documents: Agglomerations of the Sverdlovsk Region

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.