Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

<Previous Article In Volume
Next Article In Volume>

Public Opinion Analysis About Online Teaching in the Era of Big Data: Mining and Analyzing Data from an Online Community in China

Authors
Xiaoqian Liu1, *
1School of Labor Relations and Human Resources, China University of Labor Relations, 45 Zengguang Road, Haidian District, Beijing, China
*Corresponding author. Email: Liuxqian6251@sina.com
Corresponding Author
Xiaoqian Liu
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_62How to use a DOI?
Keywords
Big Data; Online Teaching; LDA analysis
Abstract

Since the outbreak of the epidemic, a wide range of online teaching has had practical opportunities in China. Online teaching has also aroused extensive discussion among students, parents and public opinion. How to apply big data technology to understand the public opinion feedback on online teaching and improve the teaching effect has become an important issue in current education research. This research takes the network community of young people as the source of data acquisition. By initiating network requests, data extraction and cleaning, data storage, visualizing the stored data, and generating LDA topic model, this research has carried out public opinion analysis of online teaching, so as to provide support for the improvement of online teaching.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_62How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoqian Liu
PY  - 2022
DA  - 2022/12/12
TI  - Public Opinion Analysis About Online Teaching in the Era of Big Data: Mining and Analyzing Data from an Online Community in China
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 598
EP  - 605
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_62
DO  - 10.2991/978-94-6463-024-4_62
ID  - Liu2022
ER  -