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

Machine Learning (1501) eHealth Literacy / Digital Literacy (396) Consumer & Patient Education and Shared-Decision Making (695) Health Education for Children and Adolescents (43)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30115, first published .
Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach

Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach

Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach

Authors of this article:

Wenxiu Xie1 Author Orcid Image ;   Meng Ji2 Author Orcid Image ;   Yanmeng Liu2 Author Orcid Image ;   Tianyong Hao3 Author Orcid Image ;   Chi-Yin Chow1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Wenxiu Xie   1 , MSc ;   Meng Ji   2 , DPhil ;   Yanmeng Liu   2 , MA ;   Tianyong Hao   3 , DPhil ;   Chi-Yin Chow   1 , DPhil

1 Department of Computer Science, City University of Hong Kong, Hong Kong, China (Hong Kong)

2 School of Languages and Cultures, The University of Sydney, Sydney, Australia

3 School of Computer Science, South China Normal University, Guangzhou, China

Corresponding Author:

  • Meng Ji, DPhil
  • School of Languages and Cultures
  • The University of Sydney
  • Room 635 A18
  • Brennan MacCallum Building
  • Sydney, 2006
  • Australia
  • Phone: 61 449858887
  • Email: christine.ji@sydney.edu.au