Utilizing deep learning and graph mining to identify drug use on Twitter data.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model will be developed for predicting positively referenced, drug-related tweets. From this, trends and correlations can be determined.

Authors

  • Joseph Tassone
    Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, P7B 5E1, Canada.
  • Peizhi Yan
    Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, P7B 5E1, Canada.
  • Mackenzie Simpson
    Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, P7B 5E1, Canada.
  • Chetan Mendhe
    Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, P7B 5E1, Canada.
  • Vijay Mago
    Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, P7B 5E1, Canada. vmago@lakeheadu.ca.
  • Salimur Choudhury