Study on Relationship between Reopening Time and Per Price and Number of Comments Based on Regression Analysis and Adjustment Effect Test

Abstract

Since the outbreak of COVID-19, it has had a direct and profound impact on social production and people's lives. The national economy has even stopped for a while, and the catering industry is one of the most obvious industries. This paper collects the store information and comments of the public comment platform from December 2019 to September 2020. In terms of comments, word vector is constructed by word 2vec algorithm, and the thesaurus of epidemic prevention measures is obtained by cluster analysis; In terms of data, in addition to obtaining the detailed page information of public comments, the time period for all catering stores to close down and the time interval for store reopening shall be determined according to the monthly comments. Finally, the mechanism of the number of online reviews, per price and epidemic prevention measures affecting the reopening time is discussed by using regression equation analysis. The results show that the number of online reviews represents that the stores have a certain anti risk ability to a certain extent, so that catering enterprises can resume business quickly; The higher price positioning of stores can meet the safety psychology of consumers during the epidemic.