The research conducts a quantitative statistical study of the concept of “honor” using deep learning models (LLM). The research aims to analyze different aspects of the perception of the concept of “honor” in different cultural and social contexts, conduct a quantitative analysis of this concept using LLM, and identify its main meanings and variations in different cultural contexts. The research involves collecting and processing large amounts of textual data from literature, social media, and historical documents. Applying machine learning methods makes it possible to identify patterns and trends using the lexeme “honor” and analyze its emotional connotation and associations. The research results can contribute to a deeper understanding of the concept of “honor” in today’s society. This research contributes to sociolinguistic and anthropological studies by providing a data-driven, scalable approach to understanding moral-ethical constructs in the digital age.