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

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Authors: Vorobieva A. A., Fedosenko M. Yu.

Annotation: 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 pro-duction management systems has been developed, and the nec-essary 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 ap-plication of natural language processing and artificial intelli-gence methods in robotic production systems.

Keywords: smart factories, machine learning, big data, robotic production systems, natural language processing, text mining, natural lan-guage processing, cybersecurity