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Song Emotion Intelligence Analysis for Psychological Stress Relief

Author

Listed:
  • Xiaoyu Huang

    (Zhengzhou Shengda College of Economic and Trade Management, China)

  • Svetlana V. Bakuto

    (Khvorotovsky State Academy of Arts, Russia)

Abstract

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.

Suggested Citation

  • Xiaoyu Huang & Svetlana V. Bakuto, 2024. "Song Emotion Intelligence Analysis for Psychological Stress Relief," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 17(1), pages 1-21, January.
    • Handle: RePEc:igg:jisscm:v:17:y:2024:i:1:p:1-21
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