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DEVELOPMENT OF METHODOLOGY AND CONFIGURATION OF LINGUISTIC RESOURCES FOR PROCESSING INFORMATION FROM UNSTRUCTURED DATA FOR MONITORING THE ACTIVITIES OF CREDIT INSTITUTIONS

Vorobeva Alla Victorovna  (сandidate technical sciences, docent K G Razumovsky Moscow State University of technologies and management (the First Cossack University) )

Odinokova Elena Vladimirovna  (сandidate of Pedagogical Sciences, docent K G Razumovsky Moscow State University of technologies and management (the First Cossack University) )

Romanov Alexander Alekseevich  (K G Razumovsky Moscow State University of technologies and management (the First Cossack University))

Analysis and comparison of reports of suspicious transactions from credit institutions allow Federal Financial Monitoring Service to determine how effectively countering money laundering/terrorist financing measures are applied in banks, as well as the participation of banks themselves in so-called «schemes». Additional sources of information about the activities of credit institutions can be unstructured data from the Internet, presented in the form of a text that may contain a variety of information useful for countering money laundering/terrorist financing. The sources of such data may be the official websites of organizations that host a variety of information about their activities, as well as the websites of their competitors, specialized business, and client forums.

Keywords:Credit institution, information resource, information technology, information, computational linguistics, unstructured data
 

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Citation link:
Vorobeva A. V., Odinokova E. V., Romanov A. A. DEVELOPMENT OF METHODOLOGY AND CONFIGURATION OF LINGUISTIC RESOURCES FOR PROCESSING INFORMATION FROM UNSTRUCTURED DATA FOR MONITORING THE ACTIVITIES OF CREDIT INSTITUTIONS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№10. -С. 35-37 DOI 10.37882/2223-2966.2023.10.08
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