Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”
Abeed Sarker (),
Dan Malone and
Graciela Gonzalez
Additional contact information
Abeed Sarker: University of Pennsylvania
Dan Malone: University of Arizona
Graciela Gonzalez: University of Pennsylvania
Drug Safety, 2017, vol. 40, issue 2, No 11, 187-188
Keywords: Social Media; Natural Language Processing; Social Media Data; Supervise Learning Technique; Automate Monitoring System (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40264-016-0498-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:drugsa:v:40:y:2017:i:2:d:10.1007_s40264-016-0498-6
Ordering information: This journal article can be ordered from
http://www.springer.com/adis/journal/40264
DOI: 10.1007/s40264-016-0498-6
Access Statistics for this article
Drug Safety is currently edited by Nitin Joshi
More articles in Drug Safety from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().