Proceedings of the 2021 6th International Conference on Modern Management and Education Technology(MMET 2021)

Big Data Web Crawler Analysis of Online Professional Course Requirements

Authors
Song Shuo, Wu Guangcuan, Peng Yiping
Corresponding Author
Song Shuo
Available Online 12 October 2021.
DOI
10.2991/assehr.k.211011.075How to use a DOI?
Keywords
Online professional courses, Web Crawler, Text Analysis
Abstract

In the context of the era of big data, the development and progress of network technology has brought learners multiple learning methods and strategies of personalized learning choices.Although the development of online courses in our country has begun to take shape, many problems have emerged in the implementation process. There are still obvious obstacles in the design of courses, the use of teaching tools, and the transformation of educational concepts. As for professional courses, due to their own characteristics, the online teaching of professional courses is particularly hard. In view of these problems, this article has done the following work: Use Python to crawl online comments on professional courses, generate text documents and then perform text analysis. In the text analysis, Python jieba library is first used for word segmentation and word frequency statistics, and then Python wordcloud library is used to generate comment wordcloud to study learners’ demands for online professional courses. On the basis of the above analysis, summary and suggestions are given to provide reference for the development of online professional courses in our country, to promote the good development of online professional courses, and to provide convenience for relevant professional learners.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2021 6th International Conference on Modern Management and Education Technology(MMET 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
12 October 2021
ISBN
978-94-6239-437-7
ISSN
2352-5398
DOI
10.2991/assehr.k.211011.075How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Song Shuo
AU  - Wu Guangcuan
AU  - Peng Yiping
PY  - 2021
DA  - 2021/10/12
TI  - Big Data Web Crawler Analysis of Online Professional Course Requirements
BT  - Proceedings of the 2021 6th International Conference on Modern Management and Education Technology(MMET 2021)
PB  - Atlantis Press
SP  - 414
EP  - 418
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211011.075
DO  - 10.2991/assehr.k.211011.075
ID  - Shuo2021
ER  -