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Natural language processing
Modern natural language processing technologies for solving strategic analytics tasks
I. F. Kuzminova, P. D. Bakhtina, A. A. Timofeeva, E. E. Khabirovaa, P. A. Lobanovaa, N. I. Zurabyanb a HSE University, Moscow, Russia
b State Research Institute of Aviation Systems, Moscow, Russia
Abstract:
The article is devoted to a review of the latest natural language processing (NLP) technologies that can be applied in strategic analytics. The introduction discusses the main problems in this area and specific tasks that can be solved using NLP tools. The article provides an overview of the main application areas in which these tools are involved. The paper reviews recent advancements in NLP and assess their potential. Conclusions are drawn about how the NLP apparatus should be developed in order to fulfill the needs of strategic analytics in the future.
Keywords:
NLP, artificial intelligence, text mining, strategic analytics.
Citation:
I. F. Kuzminov, P. D. Bakhtin, A. A. Timofeev, E. E. Khabirova, P. A. Lobanova, N. I. Zurabyan, “Modern natural language processing technologies for solving strategic analytics tasks”, Artificial Intelligence and Decision Making, 2020, no. 1, 3–16
Linking options:
https://www.mathnet.ru/eng/iipr123 https://www.mathnet.ru/eng/iipr/y2020/i1/p3
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Statistics & downloads: |
Abstract page: | 10 | Full-text PDF : | 32 | References: | 1 |
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