https://repository.hneu.edu.ua/handle/123456789/37804 Sun, 05 Apr 2026 22:58:55 GMT 2026-04-05T22:58:55Z https://repository.hneu.edu.ua/handle/123456789/38570 Назва: Using a wordpress content management system to automate business processes Автори: Simonovych S. Короткий огляд (реферат): The purpose of the research is to determine the optimal approaches to implementing the WordPress system, which not only publishes content, but also acts as a tool for automating key business processes. The object of the research is the process of implementing WordPress as a tool for automating business processes in the environment of small and medium-sized enterprises that need to optimize their work. Wed, 01 Jan 2025 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/38570 2025-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/38569 Назва: Natural language processing to analyze user feedback to automate feedback analysis and identify trends in large amounts of text business data Автори: Petrenko B.; Skorin Y. Короткий огляд (реферат): The purpose of the study is to develop a system for automated analysis of user feedback based on natural language processing methods to detect tone, key aspects and topics. The object of the study is the processes of processing and analyzing user feedback in a digital environment. The subject of the study is natural language processing methods and models for automating the analysis of text feedback. The research methods include machine learning, deep neural networks, statistical methods of text analysis and methods for assessing the quality of models. Classical algorithms, neural network models and transformer architectures are used. Wed, 01 Jan 2025 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/38569 2025-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/38568 Назва: Application of artificial intelligence methods to manage operational risks of the enterprise Автори: Mizyak D.; Skorin Y. Короткий огляд (реферат): The activity of manufacturing enterprises in Ukraine in modern conditions is characterized by a high level of uncertainty, the inવuence of a large number of external and internal factors, as well as the degree of risk that grows. In such circumstances, enterprises need to understand approaches and methods for assessing the impact of potential risks on their activities and be able to manage them in order to mitigate them. The management of the enterprise needs to learn how to timely assess and take into account risk factors when making important management decisions, e*ective organization of the process of assessment and risk reduction will help to quickly adapt the activities of enterprises to unstable and rapidly changing conditions of the external and internal environment. Wed, 01 Jan 2025 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/38568 2025-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/38567 Назва: Application of artificial intelligence in financial risk management systems Автори: Lukianchuk S.; Skorin Y. Короткий огляд (реферат): The purpose of the research is to apply artificial intelligence in automated financial risk management systems in order to increase the accuracy, efficiency and effectiveness of management decision-making in the financial sector. As part of the research, a model for predicting the credit risk of bank customers has been developed, which allows assessing solvency based on historical data and modern machine learning methods. The object of the research is automated financial risk management systems operating in the banking and financial sector. Wed, 01 Jan 2025 00:00:00 GMT https://repository.hneu.edu.ua/handle/123456789/38567 2025-01-01T00:00:00Z