An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

Abstract Drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. The ability to detect drug-abuse risk behavior at a population scale, such as among the population of Twitter users, can help us to monitor the trend of drug-abuse incidents. Unfo...

Full description

Bibliographic Details
Main Authors: Han Hu, NhatHai Phan, Soon A. Chun, James Geller, Huy Vo, Xinyue Ye, Ruoming Jin, Kele Ding, Deric Kenne, Dejing Dou
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Computational Social Networks
Subjects:
Deep learning
Self-taught learning
Drug abuse
Twitter
Online Access:http://link.springer.com/article/10.1186/s40649-019-0071-4

Internet

http://link.springer.com/article/10.1186/s40649-019-0071-4

Similar Items