Applied Logic in the Age of Big Data: The Evolution of Linguistic Programming and Decoding in Psychological Trend Analysis

Abstract

Mental health quality is closely related to individual mental health level. High mental health quality can help high school students deal with mental illness in time, actively seek help from others, and improve their stigmatized abnormal beliefs, so as to improve their overall mental health level. The party and the government pay more and more attention to the shaping of everyone’s proactive social psychology, which has been widely concerned in modern society. Therefore, this article scientifically studies the applied logic of the information age: the evolution of language programming and decryption in the trend of psychological change. SQL Server data management system, Oracle big data statistical analysis and research ideas, ACSI mental health evaluation index system, and language expression encoding and decoding method were used to measure the mental health of Chinese teenagers and children, and the relevant measurement conclusions were compared. The results show that the accuracy of language programming is higher than that of traditional mental health measurement. Finally, the paper discusses the scientific research of mental health, puts forward corresponding proposals, and finally prospects the future of the exploration of the ways of mental health cultural education.