Application of text mining technology for comparative analysis of trends in the labor market

Abstract

Object: The main purpose of the article is to analyze the employment of the population in the post-Soviet space in the context of world events to identify positive and negative trends in employment, as well as characteristic trajectories of development directions.Methods: Modern methods of word processing, in particular text mining, word cloud were used.Findings: The rapid development of modern technologies, Internet applications is accompanied by the generation of large amounts of data, the timely processing of which is today one of the main problems in various spheres of life - social, economic, political, and others. In solving this global problem, modern methods of processing text information, the so-called text mining technologies, come to the rescue. These tools allow to increase the efficiency of solving problems of different levels. The algorithms embedded in the text mining technology reveal the basic concepts of the text, the content and the relationship between them.The integration of modern text mining systems and the R-Studio programming language makes it possible to conduct research in the field of text analysis and processing. These systems, using statistical methods, process the rating of news documents, materials of scientific documents, blogs, tweets, emails, advertisements and other information. The main task of text analysis is to get a clear idea about the topics of interest, to extract important information. The analysis of text documents by text mining methods is carried out in several stages: information search, text preprocessing, extraction of the required information, application of text methods, analysis and interpretation of the obtained results. For the analysis of texts, articles in Russian in PDF format were selected, including information on trends in the labor market and employment for 1995–2020.Conclusions: over the past 20 years there have been significant changes in the labor market and employment. Text analysis technologies made it possible to reveal that during the study period, the labor market issues of unemployment, employment, employment transformation, the emergence of new forms of employment, social and gender problems, and others raised.