Emotional Data Mining and Machine Learning in College Students’ Psychological Cognitive Education

Authors

  • Xiaofan Shi School of Economics and Management, Beihua University, Jilin, Jilin 132013, China

Abstract

Emotion analysis method in AI technology can quickly and effectively analyze the emotions in text, and it is an important way to identify the emotional information of students’ feedback text. In this paper, the author analyzes the application of emotional data mining and machine learning in college students’ psychological cognitive education. Result shows that there is a relationship between Academic Emotion and students’ learning achievement. Using artificial intelligence technology to discover Academic Emotion in educational texts can more easily understand students’ learning behavior and solve students’ psychological problems. Through the use of computer access and mobile terminal access to the two access methods, psychological test system provides a variety of choices for teachers and students. Therefore, applying the mobile terminal to the psychological testing work has
exerted the portability advantage of the mobile terminal, so that the psychological testing work can be performed anytime and anywhere, which not only facilitates the teachers and students, but also improves the work efficiency.

Keywords: Emotional data mining; Machine learning; Psychological cognition; Neural network

Cite As

X. Shi, "Emotional Data Mining and Machine Learning in College Students’ Psychological Cognitive
Education", Engineering Intelligent Systems, vol. 27 no. 4, pp. 167-175, 2019.



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Published

2019-12-01

Issue

Vol. 27 No. 4 (2019): International Journal of Engineering Intelligent Systems

Section

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