Methods for data mining and natural language processing in the management of robotic production systems

The paper presents a comparative analysis of natural language processing and data mining methods used in data processing in the industrial robotic systems. A concept for implementing the process of integrating artificial intelligence methods into production management systems has been developed, and the necessary components have been described. The focus is on the use of natural language processing methods. The work could be useful for conducting experimental research in the field of application of natural language processing and artificial intelligence methods in robotic production systems.