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- W3159273754 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 hasexerted 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: data mining; Machine learning; Psychological cognition; Neural networkCite AsX. Shi, Emotional Data Mining and Machine Learning in College Students’ Psychological Cognitive Education, Engineering Intelligent Systems, vol. 27 no. 4, pp. 167-175, 2019." @default.
- W3159273754 created "2021-05-10" @default.
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- W3159273754 date "2019-12-01" @default.
- W3159273754 modified "2023-09-24" @default.
- W3159273754 title "Emotional Data Mining and Machine Learning in College Students’ Psychological Cognitive Education" @default.
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