The Media Public Opinion Analysis on the Implementation of “Double Reduction” Policy in Education Based on Big Data

Abstract

Monitoring the internet media opinion information quickly triggered by the implementation of the “double reduction” policy, and identifying the hot spots, tendencies, communication trends, and characteristics of media opinion are of great significance to government departments to grasp the dynamics of media opinion in time and assist them in decision-making. This paper uses the web crawler to dynamically collect the internet media opinion big data related to the “double reduction” of main media and utilizes text analysis and data mining technologies to dynamically monitor the hot spots, topic tendencies, and communication characteristics of media opinion. Taking the internet media opinion data on the implementation of the “double reduction” policy from January 1, 2021 to November 15, 2021 as the sample, the paper analyzes the media opinion of the implementation of the “double reduction” policy. The high incidence period of media opinion is consistent with the opening of primary and secondary schools, holidays, and the introduction of relevant policies. The topics of internet media opinion are highly targeted and cover a wide range. The media focuses on the implementation measures, new problems, new phenomena, effects, and evaluation of the “double reduction” policy in education. Strong provinces of education, large provinces of education, and difficult provinces of education are the main areas for media public opinion monitoring. The media opinion is in the fermentation stage, and there is no sign of heat reduction. The propagation of media opinion is in line with the theoretical characteristics of information propagation life cycle. This paper only takes the internet media opinion of the main network media as the monitoring object. Whether it is suitable for the media opinion of the whole network media needs to be further tested.