Application of artificial intelligence language models in the study of public opinion on the activities of internal affairs bodies (sociological aspects)

The article analyzes the possibilities of using artificial intelligence language models to study public opinion about the activities of internal affairs bodies. It examines various methodological approaches of sociological research, emphasizing the importance of combined methods. Special attention is given to sentiment analysis as a modern tool that allows for identifying the emotional content of statements and promptly assessing public perception of various aspects of law enforcement. The article describes the advantages and limitations of using AI models, and highlights key areas for future research in this field.