The Evolution of Public Sentiment of the"Double Reduction"Policy and Its Enlightenment to the Dissemination of Public Policy:Mining and Analysis Based on Microblog Data
[Purpose/significance]The topic of online public policy has attracted more and more attention.Grasping the public's emotional tendency towards public policy is of great significance to the implementation and promotion of the policy.[Method/process]The paper measures the public's emotional state through text information mining on social media platforms,investigates the emotional state and evolution trend characteristics of microblog platform users during the implementation of the"Double Reduction"policy,extracts the public's emotional keywords for the"Double Reduction"policy by using sentiment lexicon matching,divides the emotional catego-ries;and measures the evolution trend of public emotional tendency through the machine learning model.[Result/conclusion]The pub-lic's emotional response to the"Double Reduction"policy is dominated by positive emotions,but its overall emotional trend has underg-one a spiral upward evolution process.At the initial stage of the"Double Reduction"policy,negative emotions are the main trend.With the policy interpretation of relevant departments and the supplementation of supporting policies,it effectively guided the public's emotions to a positive change,and positive emotions gradually occupy a dominant position.
public policy"Double Reduction"policypublic emotionemotional evolution
NETL
NSTL
万方数据
