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This chapter analyses the publication activity of Hungarian and Polish researchers in economics, business, and finance from the perspective of the most popular topics. The study covers scientific achievements in the form of journal papers, published from 2017 to 2022, and registered in the Scopus database. All articles with at least one author from Hungary or Poland have been considered. The paper focuses on the main issues discussed in the investigated set of scientific journal papers and assesses their popularity and the changes in topic importance over time. This explorative study uses the latent Dirichlet allocation method (implemented in R) as a generative unsupervised statistical model to automatically extract topics in the text corpora of journal articles’ abstracts. The analysis unveils that the most important topics in business and economics from 2017 to 2022 were quantitative methods; natural resources and the environment; public finance and financial markets; entrepreneurship and innovations; education; company management; the state, law, and security; and regional development.

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Topic Modelling of Publication Activity in Hungary and Poland in the Fields of Economics, Finance, and Business

  • 会议论文

  • 发表日期：

    2025年

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  • Ildikó Dén-Nagy,
  • Pawel Lula,
  • Magdalena Talaga,
  • Norbert Magyar

摘要

This chapter analyses the publication activity of Hungarian and Polish researchers in economics, business, and finance from the perspective of the most popular topics. The study covers scientific achievements in the form of journal papers, published from 2017 to 2022, and registered in the Scopus database. All articles with at least one author from Hungary or Poland have been considered. The paper focuses on the main issues discussed in the investigated set of scientific journal papers and assesses their popularity and the changes in topic importance over time. This explorative study uses the latent Dirichlet allocation method (implemented in R) as a generative unsupervised statistical model to automatically extract topics in the text corpora of journal articles’ abstracts. The analysis unveils that the most important topics in business and economics from 2017 to 2022 were quantitative methods; natural resources and the environment; public finance and financial markets; entrepreneurship and innovations; education; company management; the state, law, and security; and regional development.