Dealing with Medication Non-Adherence Expressions in Twitter

Takeshi Onishi, Davy Weissenbacher, Ari Klein, Karen O’Connor, Graciela Gonzalez-Hernandez


Abstract
Through a semi-automatic analysis of tweets, we show that Twitter users not only express Medication Non-Adherence (MNA) in social media but also their reasons for not complying; further research is necessary to fully extract automatically and analyze this information, in order to facilitate the use of this data in epidemiological studies.
Anthology ID:
W18-5908
Volume:
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task
Month:
October
Year:
2018
Address:
Brussels, Belgium
Venues:
EMNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
32–33
Language:
URL:
https://www.aclweb.org/anthology/W18-5908
DOI:
10.18653/v1/W18-5908
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-5908.pdf