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Megaproject Risk Management Based on Loyalty Program Using Neural Network Models

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dc.contributor.authorKovtun, D.
dc.contributor.authorKoptelov, M.
dc.contributor.authorGuseva, A.
dc.contributor.authorКоптелов, Матвей Викторович
dc.contributor.authorГусева, Анна Ивановна
dc.contributor.otherФакультет бизнес-информатики и управления комплексными системами
dc.date.accessioned2024-11-27T15:53:11Z
dc.date.available2024-11-27T15:53:11Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.this paper discusses the possibility of forming a loyalty program for international megaprojects, taking into account information risks. The information risk index is calculated based on the tone of information messages generated in the information and semantic field of the megaproject. Neural network models LSTM and CNN are used for sentiment analysis. The results obtained allowed us to give preference to the CNN neural network model for the most effective approach to risk management. This work was supported by RFBR grant № 20-010-00708\20.
dc.format.extentС. 228-231
dc.identifier.citationKovtun, D. Megaproject Risk Management Based on Loyalty Program Using Neural Network Models / Kovtun, D., Koptelov, M., Guseva, A. // Proceedings - 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2020. - 2020. - P. 228-231. - 10.1109/SUMMA50634.2020.9280581
dc.identifier.doi10.1109/SUMMA50634.2020.9280581
dc.identifier.urihttps://www.doi.org/10.1109/SUMMA50634.2020.9280581
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85098942377&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23028
dc.relation.ispartofProceedings - 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2020
dc.titleMegaproject Risk Management Based on Loyalty Program Using Neural Network Models
dc.typeConference Paper
dspace.entity.typePublication
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