Big data approach for the studies of the job market and related areas
Автор: Belov Sergey, Javadzade Javad, Kadochnikov Ivan, Korenkov Vladimir, Zrelov Petr
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 4, 2020 года.
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This paper discusses some approaches to intellectual text analysis in application to automated monitoring of the labour market. The construction of an analytical system based on Big Data technologies for the labour market is describedd. Were compared the combinations of methods of extracting semantic information about objects and connections between them (for example, from job advertisements) from specialized texts. A system for monitoring the Russian labour market has been created, and the work is underway to include other countries in the analysis. The considered approaches and methods can be widely used to extract knowledge from large amounts of texts.
Big data, labour market, machine learning
Короткий адрес: https://sciup.org/14123324
IDR: 14123324
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