Big Data Technologies in Modern Philological Studies within the SHIVA and WARMI Era

Article Sidebar

PDF
Published: 18.07.2026

Main Article Content

Goncharenko Svitlana
Kyiv National University of Technologies and Design image/svg+xml

Abstract

The article explores the possibilities of applying Big Data technologies in modern philology in the conditions of SHIVA and WARMI worlds. The features of the analysis of large-scale text corpora, digital discourse and language data using artificial intelligence are considered. The role of Big Data in the transformation of the methodology of philological research and the development of digital humanities is substantiated.

Downloads

Download data is not yet available.

Article Details

Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 301 (2026): 10th ISPC «Experimental and Theoretical Research in Modern Science» (July 16-18, 2026; Toronto, Canada).

Section

Philology and Linguistics
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biography

Goncharenko Svitlana, Kyiv National University of Technologies and Design

Senior Lecturer; Department of Philology and Translation; Kyiv National University of Technologies and Design; Ukraine

How to Cite

Goncharenko, S. (2026). Big Data Technologies in Modern Philological Studies within the SHIVA and WARMI Era. Scientific Collection «InterConf», 301, 61-68. https://interconf.openpubarchive.com/index.php/proceeding/article/view/21

References

I. Hrashchenko, S. Krasniuk, T. Tsalko, S. Nevmerzhytska, N. Liubymova (2024). Effective computer modeling in educational management. ScientificWorldJournal. – September 2024. – Issue 27, Part 3. – pp. 3 -17. – URL: https://www.sworldjournal.com/index.php/swj/issue/view/swj27-03

Krasnyuk M.T. (2006). Problemy zastosuvannia system upravlinnia korporatyvnymy znanniamy ta yikh taksonomiia [Problems of applying corporate knowledge management systems and their taxonomy]. Modeliuvannia ta informatsiini systemy v ekonomitsi - Modeling and information systems in the economy, vol. 73, p. 256 [in Ukrainian].

Naumenko, M. (2024). Models of business knowledge in artificial intelligence systems for an effective competitive enterprise. International scientific journal "Internauka". Series: "Economic Sciences". № 6. DOI: https://doi.org/10.25313/2520-2294-2024-6- 10010 [In Ukrainian].

Naumenko, M. (2024). Analiz ta analityka velikykh danykh v marketynh i torhivli konkurentospromozhnoho pidpryiemstva [Analysis and analytics of big data in marketing and trade of a competitive enterprise]. Grail of Science, # 40, pp. 117 –128. DOI: https://doi.org/10.36074/grail-of-science.07.06.2024.013 (in Ukrainian).

M. Krasnyuk, T. Motsyuk, S. Krasniuk (2021). Relevanz des wahlfaches «Wissensdetektion in unstrukturierten daten» bei der ausbildung von mastern der technischen und humanitären fachrichtungen. Education and science of today: intersectoral issues and development of sciences: collection of scientific papers “ΛΌГOΣ” with proceedings of the I International scientific and practical conference, Cambridge, United Kingdom, March 19, 2021. Vol. 3. Cambridge - Vinnytsia: P.C. Publishing House & European Scientific Platform, 2021. pp. 66–67.

Derbentsev, V. D., Serdiuk, O. A., Soloviov, V. M., & Sharapov, O. D. (2010). Synergistic and econophysical methods of studying dynamic and structural characteristics of economic systems. Cherkasy: Brama-Ukraine. - 2010 [in Ukrainian].

Goncharenko S. (2025). Intelligent information technologies for innovative management of advanced philology projects. Innovations and New Directions in Scientific Research: Proceedings of the 2nd International Scientific Conference (Manchester, United Kingdom, 20 September 2025). - Lulu Press, Inc., 2025. - P. 176 -179. URL: https://er.knutd.edu.ua/handle/123456789/31648