Research Article
An Analysis on Users’ Emotions Based on Micro-blog in the Context of Prevention and Control of COVID-19 Epidemic
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322679, author={Hao Li}, title={An Analysis on Users’ Emotions Based on Micro-blog in the Context of Prevention and Control of COVID-19 Epidemic}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={comments on micro-blog; emotion analysis; support vector machine; text clustering}, doi={10.4108/eai.17-6-2022.2322679} }- Hao Li
Year: 2022
An Analysis on Users’ Emotions Based on Micro-blog in the Context of Prevention and Control of COVID-19 Epidemic
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322679
Abstract
In the era of information explosion, there is information of high value hidden behind a large amount of data. As a platform popular with users, micro-blog contains a large amount of data on users' comments and the analysis of these comments is conducive to grasping the emotions and attitudes of micro-blog users and trends of social public opinions, contributing to the management department to monitor and induce public opinions. The author of this thesis collects data about comments on micro-blog on the subject of COVID-19 Epidemic, divides general data into two periods in time dimension according to the same length of time span, makes emotion analysis on these two data groups by use of the support vector machine, extracts the themed hot words and analyzes reasons for such changes in emotions of micro-blog users. There is a high proportion of negative emotions in both periods, but users' emotions also have corresponding changes in both time periods along with the changes of hot topics.