Does the face expression recognition model under the online entrepreneurial education model important for deep learning technologies and entrepreneurial emotions?

Abstract

AI's rapid development has already affected the economy and society, and it might revolutionise how goods and services are manufactured and categorized. This affects the country's production, employment rate, and competitiveness. This research aims to determine how emotions (good and negative) impact deep learning technologies and company startup intentions. The research also examined how emotion recognition influences online entrepreneurship education and how deep learning and entrepreneurship are connected In conclusion, the research is one of the pioneering efforts that provides a comprehensive grasp of the deep learning and facial recognition in entrepreneurship. 78 of 650 replies were insufficient, according to the statistics. Some individuals constantly picked 3, while others submitted blank questionnaires. The answer is inadequate. 572 surveys were utilized for study. Positive emotions affect the urge to establish a company, according to the research People who are generally happy may be able to develop their entrepreneurial expertise and be more driven to behave entrepreneurially. Positive and negative emotions have significant impact on the deep learning technology and entrepreneurial intention connection. The findings imply that individuals who often experience pleasant emotions may be better able to improve their entrepreneurial cognition and, as a consequence, their drive to engage in entrepreneurial activity. Facial recognition model in entrepreneurship significantly moderates the relationship between deep learning technology and entrepreneurial intention relationship (=0.262, p 0.001); hence, hypotheses 6, 7, and 8 are validated. This provides support to the hypothesized results, claiming that facial recognition plays a significant role in determining the relationship between the deep learning technology and entrepreneurial intention relationship. The results would be significant for university students, academicians and policymakers as they seek to link practices and outcomes. The study is among the pioneers on the issues related to deep-learning mechanism in eastern China.