This paper is in the following e-collection/theme issue:

Corrigenda and Addenda (112)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57233, first published .
Correction: Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Correction: Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Correction: Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Authors of this article:

Feipeng Guo1, 2 Author Orcid Image ;   Zixiang Liu1 Author Orcid Image ;   Qibei Lu3 Author Orcid Image ;   Shaobo Ji4 Author Orcid Image ;   Chen Zhang5 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

    Corrigenda and Addenda

    1Modern Business Research Center, Zhejiang Gongshang University, Hangzhou, China

    2School of Management and E-Business, Zhejiang Gongshang University, Hangzhou, China

    3School of International Business, Zhejiang International Studies University, Hangzhou, China

    4Sprott School of Business, Carleton University, Ottawa, ON, Canada

    5General Manager's Office, Hangzhou Gaojin Technology Co, Ltd, Hangzhou, China

    Corresponding Author:

    Qibei Lu, PhD

    School of International Business

    Zhejiang International Studies University

    299 Liuhe Road

    Xihu District

    Hangzhou, 310030

    China

    Phone: 86 13857659112

    Email: luqibei@zisu.edu.cn



    In “Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media” (J Med Internet Res 2024;26:e47508) the authors noted one error.

    In the “Methods” section of the Abstract, the following sentence:

    Finally, a machine learning linear regression (ML-LR) model combined with a sparse matrix was proposed to explore the evolutionary trend in public opinion on social media and verify the high accuracy of the model.

    Has been changed to read as follows:

    Finally, a machine learning logistic regression (ML-LR) model combined with a sparse matrix was proposed to explore the evolutionary trend in public opinion on social media and verify the high accuracy of the model.

    The correction will appear in the online version of the paper on the JMIR Publications website on February 14, 2024 together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 08.02.24; accepted 08.02.24; published 14.02.24.

    Copyright

    ©Feipeng Guo, Zixiang Liu, Qibei Lu, Shaobo Ji, Chen Zhang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.02.2024.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.