What is it about?

The contribution of data mining and natural language processing in pharmacovigilance of fentanyl, a synthetic opioid pain medication was evaluated as a case study. The tweets containing fentanyl as keyword were retrieved from Twitter social media. Crisis, dead, death, die, dose, drug, heroin, kill, lethal, opioid, overdose and police were some of the words frequently associated with fentanyl. The high correlation and association of fentanyl with these terms identified by association rule algorithms demonstrated fentanyl abuse and aftermaths in the real world.

Featured Image

Read the Original

This page is a summary of: Text mining and Natural Language Processing on Social Media Data giving Insights for Pharmacovigilance: A Case Study with Fentanyl, Indian Journal of Pharmaceutical Sciences, January 2018, OMICS Publishing Group,
DOI: 10.4172/pharmaceutical-sciences.1000418.
You can read the full text:

Read

Contributors

The following have contributed to this page