| Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/202316601017 | |
| Published online | 05 May 2023 | |
A useful method for postgraduate of chemical engineering in understanding the public opinions of public events related to their major: A case study of health communication and public opinions of COVID-19 on Twitter in Germany
1 Xi'an University of Technology, School of Science, 710054 Xi'an, Shaanxi, China
2 Xi'an International Studies University, School of Journalism and Communication, 710028 Xi'an, Shaanxi, China
* Corresponding author: zhangzhicheng@xisu.edu.cn
In order to adapt to the latest development of higher education in the era of big data, improve the sensitivity for postgraduate of chemical engineering in the public opinions of public events related to their major, this study took “the pandemic of COVID-19 on Twitter in Germany” as an example and investigated the health communication and public opinions on COVID-19 based on the Python scripts and Twitter streaming application programming interface using statistical analysis and chi square feature selection. The provided method is helpful to improve the insight, prediction, scientific literacy and innovation ability of postgraduate of chemical engineering.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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