Applied Logic in the Age of Big Data: The Evolution of Linguistic Programming and Decoding in Psychological Trend Analysis
Applied Logic in the Age of Big Data: The Evolution of Linguistic Programming and Decoding in Psychological Trend Analysis
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大数据时代的应用逻辑：心理趋势分析中语言编程与解码的演变
DOI：
10.1155/2022/4915539
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Liang Lang
中科院分区：
文献类型：
--
作者：
Liang Lang
心理健康质量与个体心理健康水平密切相关。高的心理健康素质可以帮助高中生及时应对心理疾病，积极向他人寻求帮助，改善他们被污名化的异常信念，从而提高他们的整体心理健康水平。党和政府越来越重视塑造每个人的积极主动的社会心理，这在现代社会受到了广泛关注。因此，本文科学地研究了信息时代的应用逻辑：语言编程和解密在心理变化趋势中的演变。采用SQL Server数据管理系统、Oracle大数据统计分析与研究思路、ACSI心理健康测评指标体系、语言表达编码法对中国青少年和儿童心理健康状况进行测量，并对相关测量结论进行比较。结果表明，语言编程的准确率高于传统的心理健康测量方法。最后，对心理健康的科学研究进行了探讨，并提出了相应的建议，最后对心理健康文化教育途径的探索进行了展望。
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.