Research on the Education Path of College Physical Education Courses Based on Data Mining

Abstract:
Objective: Based on data mining, analyze the sports public opinion in colleges and universities and the mapped sports development in μ country, and explore countermeasures for the development crisis. Methods: Taking physical education data as the object of investigation, using Python crawler program for data mining as the main method, through two ways and one model, the data was obtained and analyzed. Results: 1) Before and after the outbreak of the epidemic, the trend of "sports" and "epidemic" indexes were highly similar. Under the pressure of the epidemic, the public paid high attention to sports information. 2) The top four keywords of sports word frequency are sports videos, sports games, epidemic and Wuhan, and social attention has shown a trend of increasing and continuing to decline. With the normalization of epidemic prevention and control, the popularity and interaction of sports information degree decreased. 3) Sports content mainly involves four fields of sports policy, sports fitness, sports events and sports teaching, presenting 10 themes. Conclusion: In the post-epidemic era, it is necessary to actively build a data governance model in the sports field to improve the efficiency of sports governance. The overall development of sports in μ country is improving, but there are certain crises and limitations, which should be paid attention and vigilance.