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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Natural Language Processing (692) Ontologies, Classifications, and Coding (239) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Opioid and Related Substance Misuse (147) Substance Abuse (419)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18350, first published .
Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis

Authors of this article:

Tareq Nasralah1 Author Orcid Image ;   Omar El-Gayar2 Author Orcid Image ;   Yong Wang3 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Tareq Nasralah   1 * , PhD ;   Omar El-Gayar   2 * , PhD ;   Yong Wang   3 * , PhD

1 Supply Chain and Information Management Group, D’Amore-McKim School of Business, Northeastern University, Boston, MA, United States

2 College of Business and Information Systems, Dakota State University, Madiosn, SD, United States

3 The Beacom College of Computer and Cyber Sciences, Dakota State University, Madiosn, SD, United States

*all authors contributed equally

Corresponding Author:

  • Tareq Nasralah, PhD
  • Supply Chain and Information Management Group
  • D’Amore-McKim School of Business
  • Northeastern University
  • 360 Huntington Ave.
  • Boston, MA, 02115
  • United States
  • Phone: 1 617-373-4460
  • Email: t.nasralah@northeastern.edu