Research on Key technologies of network public opinion warning based on improved Stacking algorithm
Proceedings of SPIE - The International Society for Optical Engineering
; 12587, 2023.
Article
in English
| Scopus | ID: covidwho-20238981
ABSTRACT
Online public opinion warning for emergencies can help people understand the real situation, avoid panic, timely remind people not to go to high-risk areas, and help the government to carry out epidemic work.In this paper, key technologies of network public opinion warning were studied based on improved Stacking algorithm. COVID-19, herpangina, hand, foot and mouth, varicella and several emergency outbreaks were selected as public opinion research objects, and rough set was used to screen indicators and determine the final warning indicators.Finally, the warning model was established by the 50% fold Stacking algorithm, and the training accuracy and prediction accuracy experiments were carried out.According to the empirical study, the prediction accuracy of 50% Stacking is good, and the early warning model is practical and robust.This study has strong practicability in the early warning of the online public opinion of the sudden epidemic. © 2023 SPIE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
Proceedings of SPIE - The International Society for Optical Engineering
Year:
2023
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS