Author(s)

Jing Li, Shulin Zou, and Jiayang Du

Corresponding Author

Jing Li

ABSTRACT

Under the circumstance of COVID-19 outbreak, the construction of public information platforms under the epidemic becomes an important guarantee for maintaining social stability and boosting the confidence for the people. At present, public information platforms are facing several problems: information collection is massive and complex, information release is random and subjective, information collation is scattered and fragmented, and information security .As an important part of artificial intelligence, deep learning can improve the collection, processing and transmission of information, and improve the speed and accuracy of information processing. Given the current situation, combined with deep learning, setting up public information classification models, designing intelligent auditing technical solutions, establishing epidemic information classification management system, and plan privacy protection technology processes based on homomorphic encryption and deep learning to explore The deep integration of artificial intelligence and public information platform construction provides a reference for improving the intelligence of public information platform construction.

KEYWORDS

Public health emergencies, Public information, Deep learning, Artificial intelligence, Covid-19