Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19804, first published .
Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis

Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis

Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis

Authors of this article:

Di Wang1 Author Orcid Image ;   Joanne Chen Lyu2 Author Orcid Image ;   Xiaoyu Zhao1 Author Orcid Image

Journals

  1. Fabbian F, Rodríguez-Muñoz P, López-Carrasco J, Cappadona R, Rodríguez-Borrego M, López-Soto P. Google Trends on Obesity, Smoking and Alcoholism: Global and Country-Specific Interest. Healthcare 2021;9(2):190 View
  2. Wu X, Wang W, Li Q, Peng Z, Zhu J. Current Situation With Organ Donation and Transplantation in China: Application of Machine Learning. Transplantation Proceedings 2022;54(7):1711 View
  3. Okazaki R, Satoh K, Hasegawa A, Matsuda N, Kato T, Kanda R, Shimada Y, Hayashi T, Kohzaki M, Mafune K, Mori K. Contribution of radiation education to anxiety reduction among Fukushima Daiichi Nuclear Power Plant workers: a cross sectional study using a text mining method. Journal of Radiation Research 2022;63(1):44 View

Books/Policy Documents

  1. Li J, Liang Y. Intelligent Computing Methodologies. View