| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 06005 | |
| Number of page(s) | 8 | |
| Section | Sustainable Territorial Development | |
| DOI | https://doi.org/10.1051/e3sconf/202337106005 | |
| Published online | 28 February 2023 | |
Digitization of management: automation of the selection and classification in an arbitrary verbal context
Institute of Technologies (branch) of DSTU in Volgodonsk, 16, Mira Avenue, 347386 Volgodonsk, Rostov region, Russia
* Corresponding author: kochkovaya@mail.ru
This article deals with an approach to extracting formal meaning in an arbitrary text document. According to the authors the formal semantic attribute (“semantic pattern”) will allow to solve the problems of automatic classification of verbal context streams and on this basis automatic selection of a reaction to this context e.g. a text document. This method makes it possible to more widely implement digital management methods including in the agro-industrial complex.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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