SEMANTIC ANALYSIS OF THE CATEGORY «INNOVATIONS IN AGRICULTURAL BUSINESS»

Abstract

Introduction. Sustainable development of the domestic economy is possible only under the condition of an innovative way of its development, in this regard, one of the serious tasks is to identify promising directions for the development of socio-economic systems. This article discusses the tools for determining the strategic directions of socio-economic and innovative development. The purpose of this study is to develop a methodological approach to determining promising directions for the development of socio-economic systems using big data technology. Methodology. The work uses the tools of system analysis, semantic and content analysis. Results. Based on the conducted benchmarking, trends in the development of approaches to determining innovative directions of economic systems development are analyzed, a content analysis of the terms of the semantic field "innovations in agricultural business" is carried out, an approach to searching and processing big data and determining strategic directions for the development of economic systems is tested. Conclusions. The proposed methodology, combining expert methods with Data Mining technologies and Big Data analysis, will allow us to accurately determine the current trends in the development of the processes under study and identify the vectors of their innovative development.