Analysis and Coping Strategies of Entrepreneurial Pain Points in Universities Based on Data Mining

Abstract

After Premier Ke-qiang LI put forward the important national development plan of "mass entrepreneurship, mass innovation" in 2014, a series of entrepreneurial waves have been set off in China. As an important base for national personnel training and scientific research, colleges and universities have strong entrepreneurial vitality. However, as a whole, entrepreneurship in colleges and universities is generally characterized by low project quality and high failure rate. Based on the data analysis principle, this paper applies the Internet crawler technology and natural language processing technology to get the key factors that affect the failure of University entrepreneurship, analyzes the causes of failure and puts forward countermeasures to improve the management of university entrepreneurship to provide decision-making basis.