Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools
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...
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| Format: | Article |
| Language: | Russian |
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Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center
2024-12-01
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| Series: | Цифровая трансформация |
| Subjects: | |
| Online Access: | https://dt.bsuir.by/jour/article/view/880 |
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| author | A. V. Vankevich I. N. Kalinouskaya |
| author_facet | A. V. Vankevich I. N. Kalinouskaya |
| author_sort | A. V. Vankevich |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-37653a04237843d08321bab2bb216f3f |
| institution | Kabale University |
| issn | 2522-9613 2524-2822 |
| language | Russian |
| publishDate | 2024-12-01 |
| publisher | Ministry of Education of the Republic of Belarus, Establishment The Main Information and Analytical Center |
| record_format | Article |
| series | Цифровая трансформация |
| spelling | doaj-art-37653a04237843d08321bab2bb216f3f2025-08-20T03:56:29ZrusMinistry of Education of the Republic of Belarus, Establishment The Main Information and Analytical CenterЦифровая трансформация2522-96132524-28222024-12-01304233210.35596/1729-7648-2024-30-4-23-32355Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological ToolsA. V. Vankevich0I. N. Kalinouskaya1Vitebsk State Technological UniversityVitebsk State Technological UniversityThe 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.https://dt.bsuir.by/jour/article/view/880big datalabor marketdata analysisemploymentbig language models (llm)machine learningartificial intelligencevacanciesresumesdigital economyanalytics tools |
| spellingShingle | A. V. Vankevich I. N. Kalinouskaya Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools Цифровая трансформация big data labor market data analysis employment big language models (llm) machine learning artificial intelligence vacancies resumes digital economy analytics tools |
| title | Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools |
| title_full | Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools |
| title_fullStr | Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools |
| title_full_unstemmed | Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools |
| title_short | Using Big Data in Labor Market Analysis: Theoretical Approaches and Methodological Tools |
| title_sort | using big data in labor market analysis theoretical approaches and methodological tools |
| topic | big data labor market data analysis employment big language models (llm) machine learning artificial intelligence vacancies resumes digital economy analytics tools |
| url | https://dt.bsuir.by/jour/article/view/880 |
| work_keys_str_mv | AT avvankevich usingbigdatainlabormarketanalysistheoreticalapproachesandmethodologicaltools AT inkalinouskaya usingbigdatainlabormarketanalysistheoreticalapproachesandmethodologicaltools |