School of Accounting, Guizhou University of Finance and Economics, Guiyang 550025, China.
Comput Intell Neurosci. 2022 Aug 30;2022:3428078. doi: 10.1155/2022/3428078. eCollection 2022.
In the context of global science and technology, all countries pay more and more attention to the text analysis of emotional intonation, and the emotional intonation text analysis and policy orientation of enterprise management in major international and domestic enterprises have also changed from shallow to deep. In the twenty-first century, with the rapid development of human society, people's demand for living standards and material needs increases rapidly, and employees' awareness and needs for work are constantly changing. At present, there is the problem of emotional intonation text analysis error in the management of the enterprise, and the task and emotional transmission command are not clear and thorough. It is necessary to reasonably use deep-learning-related algorithms, especially convolutional neural network and other algorithms, to study the emotional intonation text analysis and policy guidance of the enterprise management. Aiming at the forefront of deep learning development, the latest deep learning technologies are constantly introduced. The research field of emotional intonation text analysis and policy orientation of enterprise management is focused. Through simulation experiment, the characteristics of emotional intonation text analysis and policy orientation research of different enterprise management are compared and analyzed, so as to further improve the emotional intonation text analysis and policy orientation of deep learning for enterprise management.
在全球科技背景下，各国越来越重视情感语气的文本分析，国际国内各大企业的企业管理情感语气分析和政策导向也由浅入深发生了变化。进入 21 世纪，随着人类社会的快速发展，人们对生活水平和物质需求的要求迅速提高，员工对工作的意识和需求也在不断变化。目前，企业管理中存在情感语气文本分析错误的问题，任务和情感传递指令不够清晰透彻，有必要合理利用深度学习相关算法，特别是卷积神经网络等算法，研究企业管理的情感语气文本分析和政策导向。针对深度学习发展的前沿，不断引入最新的深度学习技术。关注企业管理情感语气文本分析和政策导向的研究领域。通过仿真实验，比较和分析了不同企业管理的情感语气文本分析和政策导向研究的特点，从而进一步提高企业管理的深度学习情感语气文本分析和政策导向。
