 Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological ToolsA. V. Vankevich () and I. N. Kalinouskaya Digital Transformation, 2024, vol. 30, issue 4 Abstract: The article considers the possibility of using big data technologies and large language models to analyze the labor market in the Republic of Belarus. Theoretical approaches using big data have been developed, which implies determining both the possibility of conducting labor market analytics using online sources and effective tools for collecting and processing information on the labor market from online sources. The use of big data and large language models will improve the quality and accuracy of labor market analysis in the republic, and the use of advanced analytical tools will provide a more complete and detailed understanding of the labor market dynamics. The study is based on the analysis of existing theoretical approaches, the practice of using big data and large language models in foreign countries, as well as an assessment of the current capabilities and limitations of using these technologies in Belarus. Machine learning, big data analysis and modeling were used as tools. The results of the study can be used to improve labor market management strategies, as well as to develop employment policies and programs focused on modern challenges and opportunities of the digital economy. Date: 2024 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:abx:journl:y:2024:id:880 DOI: 10.35596/1729-7648-2024-30-4-23-32 Access Statistics for this article More articles in Digital Transformation from Educational Establishment “Belarusian State University of Informatics and Radioelectronics†|
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