Using Machine Linguistics to Analyze Trade and Economic News

Authors

  • Andrey Nikolaevich Spartak Russian Foreign Trade Academy
  • Ivan Nikolaevich Oleynikov Russian Foreign Trade Academy
  • Alexander Alekseevich Shatilov Russian Foreign Trade Academy
  • Fedor Mikhailovich Yaronskiy Russian Foreign Trade Academy

DOI:

https://doi.org/10.24412/2072-8042-2022-12-55-67

Keywords:

natural language processing, text analysis information system, trade and economic news, model, parsing, markup, data collection, model training, database

Abstract

Monitoring international trade and economic news, selecting the relevant ones and quickly analyzing the current state of the world economy is an important activity of economic departments. However, it is practically impossible to manually collect the necessary articles from a huge number of online sources, to visually check and then categorize them. Th e purpose of this paper is to show the stages of collection, preparation of news texts for processing, markup and further classification of trade and economic news using machine linguistics models, to describe which soft ware tools and modeling approaches were used in the paper, and to demonstrate the results practical application of the built system.

Author Biographies

Andrey Nikolaevich Spartak , Russian Foreign Trade Academy

Corresponding member of the Russian Academy of Sciences, Doctor of Economic Sciences, Honored Worker of Science of RF
Place of work, post: Russian Foreign Trade Academy, Department of international trade and foreign trade of the RF, the Head

Ivan Nikolaevich Oleynikov, Russian Foreign Trade Academy

Place of work, post: Russian Foreign Trade Academy, Data Analysis Center, Developer

Alexander Alekseevich Shatilov, Russian Foreign Trade Academy

Place of work, post: Russian Foreign Trade Academy, Data Analysis Center, Analyst

Fedor Mikhailovich Yaronskiy, Russian Foreign Trade Academy

Place of work, post: Russian Foreign Trade Academy, Data Analysis Center, Analyst

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Published

2024-01-26

How to Cite

Spartak , A. N., Oleynikov, I. N., Shatilov, A. A., & Yaronskiy, F. M. (2024). Using Machine Linguistics to Analyze Trade and Economic News. Russian Foreign Economic Journal, (12), 55–67. https://doi.org/10.24412/2072-8042-2022-12-55-67

Issue

No. 12 (2022)

Section

International trade