Rumor Rating Model to Promote Differentiated Management
This study proposes a strategy of rumor grading.Through in-depth research and data analysis,a large amount of rumor data was collected and processed,key features were extracted,and high-quality labeling was performed.Based on these data,a preliminary rumor rating model is established,and the generalization ability of the model is improved using active learning algorithms.With the continuous expansion of the database,the performance of the model will be further improved.Rumor rating has a wide range of application value,and it is recommended to establish a rumor rating governance system to achieve differentiated management.
国家科技期刊平台
NSTL
万方数据
