Public opinion on MOOCs: sentiment and content analyses of Chinese microblogging data-Reference-Cited by-同舟云学术

Public opinion on MOOCs: sentiment and content analyses of Chinese microblogging data

Published:2020-08-29 Issue: Volume: Page:1-18
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Zhou Mingming¹

Affiliation:

1. Faculty of Education, University of Macau, Taipa, Macau SAR, People’s Republic of China

Funder

University of Macau

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2020.1812721

Reference121 articles.

1. Abeywardena, I. S. 2014. “Public Opinion on OER and MOOC: A Sentiment Analysisof Twitter Data.” Proceedings of international conference on open and flexible education, 1–6. Hong Kong, China: Open University of Hong Kong.

2. AlSagri, H. S., and M. Ykhlef. 2016. “A Framework for Analyzing and Detracting Negative Emotional Contagion in Online Social Networks.” Proceedings of 2016 7th international conference on information and communication systems (ICICS), 115–120. New York: IEEE. doi:10.1109/IACS.2016.7476096.

3. Predicting consumer sentiments from online text

4. Analyzing Professional Discourse on Twitter: A Mixed Methods Analysis of the #openeducation Hashtag

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