宋体情绪智能分析用于心理减压

IF 0.9 Q4 MANAGEMENT
Xiaoyu Huang, Svetlana V. Bakuto
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引用次数: 0

摘要

在当今数字化、网络化的时代,图像、音频、视频等多媒体内容已经成为互联网信息高速公路上传输数据的重要组成部分。如何管理大学生群体的压力,直接关系到大学生未来的生活和发展。本文作者基于国内外数据挖掘技术,设计了大学生心理健康智能分析系统,对数据进行预处理,然后利用聚类算法中的离群值分析算法对这些数据进行详细分析,最后利用Apriori关联规则算法挖掘出心理问题与属性之间的内在联系,从而为决策者提供可靠的依据。本研究针对当代大学生心理层面存在的问题提出了合理的解决方案和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Song Emotion Intelligence Analysis for Psychological Stress Relief
In today's digital and networked era, multimedia content such as images, audio, and video have become an important part of the data transmitted on the Internet's information superhighway. How to manage the stress in the college student population is directly related to the future life and development of college students. In this article, based on domestic and international data mining technology, the authors designed an intelligent analysis system for college students' mental health, pre-processed the data, then analysed these data in detail by using the outlier analysis algorithm in clustering algorithm, and finally mined the intrinsic connection between the psychological problems and attributes by using the Apriori association rule algorithm, so as to provide the decision makers with a reliable basis. This study puts forward reasonable solutions and suggestions for the problems existing in the psychological level of contemporary college students.
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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