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

Natural Language Processing (636) Machine Learning (1370) Hair and Hair Conditions (6)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17813, first published .
Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

Authors of this article:

Qiqing Bi1, 2, 3 Author Orcid Image ;   Lining Shen1, 2, 3 Author Orcid Image ;   Richard Evans4 Author Orcid Image ;   Zhiguo Zhang1, 2 Author Orcid Image ;   Shimin Wang1, 2 Author Orcid Image ;   Wei Dai1 Author Orcid Image ;   Cui Liu1 Author Orcid Image
Article Authors Cited by (17) Tweetations (2) Metrics

Qiqing Bi   1, 2, 3 * , MS ;   Lining Shen   1, 2, 3 * , PhD ;   Richard Evans   4 , PhD ;   Zhiguo Zhang   1, 2 , PhD ;   Shimin Wang   1, 2 , MS ;   Wei Dai   1 , MS ;   Cui Liu   1 , MS

1 School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China

2 Hubei Provincial Research Center for Health Technology Assessment, Wuhan, China

3 Institute of Smart Health, Huazhong University of Science & Technology, Wuhan, China

4 College of Engineering, Design and Physical Sciences, Brunel University London, London, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Lining Shen, PhD
  • School of Medicine and Health Management
  • Tongji Medical College
  • Huazhong University of Science & Technology
  • No 13 Hangkong Road
  • Wuhan, 430030
  • China
  • Phone: 86 027 83692730
  • Fax: 86 027 83692727
  • Email: sln2008@hust.edu.cn