Published on in Vol 20, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9373, first published .
Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques

Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques

Understanding Users’ Vaping Experiences from Social Media: Initial Study Using Sentiment Opinion Summarization Techniques

Qiudan Li   1 , PhD ;   Can Wang   1, 2 * , BE ;   Ruoran Liu   1, 2 * , BE ;   Lei Wang   1 , PhD ;   Daniel Dajun Zeng   1, 2, 3 , PhD ;   Scott James Leischow   4 , PhD

1 The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences, Beijing, China

2 University of Chinese Academy of Sciences, Beijing, China

3 Department of Management Information Systems, Eller College of Management, The University of Arizona, Tucson, AZ, United States

4 College of Health Solutions, Arizona State University, Phoenix, AZ, United States

*these authors contributed equally

Corresponding Author:

  • Daniel Dajun Zeng, PhD
  • Department of Management Information Systems
  • Eller College of Management
  • The University of Arizona
  • McClelland Hall 430
  • 1130 E Helen St
  • Tucson, AZ, 85721
  • United States
  • Phone: 1 520 621 4614
  • Fax: 1 520 621 2433
  • Email: zeng@eller.arizona.edu