Abstract

This article is devoted to the problem of identifying hidden ideological attitudes in scientific articles on economics, as well as defining methods for analyzing the ideological landscape of Russian economic science. The problem of this review article lies in the absence of a developed generally accepted approach to the textual analysis of scientific publications. Thus, there is an extremely wide list of methods that can be used in this case. Nevertheless, the development of the most effective methodology requires a comprehensive analysis of existing approaches individually and a comparison of each of them with the others. The authors associate the solution of the problem of choice in the presence of several approaches and a variety of methods with the definition of such a basis that would allow the formation of a methodology that includes ideological classification within the framework of economic scientific literature, the use of computational linguistics tools, in particular natural language processing, in addition to classical narrative analysis tools to identify "ideological narratives". In this regard, the methods of identifying implicit meanings in economic texts are considered in detail. The proposed tools can be used in further research on this or related topics.

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