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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Smoking Cessation (556)

Published on in Vol 3, No 4 (2017): Oct-Dec

Identifying Sentiment of Hookah-Related Posts on Twitter

Identifying Sentiment of Hookah-Related Posts on Twitter

Identifying Sentiment of Hookah-Related Posts on Twitter

Authors of this article:

Jon-Patrick Allem1 Author Orcid Image ;   Jagannathan Ramanujam2 Author Orcid Image ;   Kristina Lerman3 Author Orcid Image ;   Kar-Hai Chu4 Author Orcid Image ;   Tess Boley Cruz2 Author Orcid Image ;   Jennifer B Unger2 Author Orcid Image
Article Authors Cited by (24) Tweetations (9) Metrics

Jon-Patrick Allem   1 , MA, PhD ;   Jagannathan Ramanujam   2 , MS ;   Kristina Lerman   3 , PhD ;   Kar-Hai Chu   4 , PhD ;   Tess Boley Cruz   2 , Ph.D. ;   Jennifer B Unger   2 , PhD

1 Keck School of Medicine of USC, Los Angeles, CA, United States

2 Keck School of Medicine of University of Southern California, Los Angeles, CA, United States

3 Children’s Hospital Los Angeles, Los Angeles, CA, United States

4 University of Pittsburgh, Pittsburgh, PA, United States

Corresponding Author:

  • Jon-Patrick Allem, MA, PhD
  • Keck School of Medicine of USC
  • 2001 N. Soto Street
  • Los Angeles, CA, 90032
  • United States
  • Phone: 1 8586030812
  • Email: allem@usc.edu