Analysis of People's Dissatisfaction on COVID-19 using Discontent Questionnaire Data

ABSTRACT

The COVID-19 outbreak and accompanying policies for prevention and control, such as lockdown and movement constraints, have influenced many areas of society and every aspect of everyone's life and work. To find out factors that have the biggest influences on people's lives, we use the BERT model to classify 'Discontent Questionnaire Data on COVID-19' and apply machine learning methods to evaluate the accuracy of the results. The results show the top three influencing factors are work, stress, and worry about the future, and the classification results show a high degree of consistency and correlation. © 2022 IEEE.