Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H)-2017 shared task

Published: 1 October 2018| Version 2 | DOI: 10.17632/rxwfb3tysd.2
Contributor:
Abeed Sarker

Description

This data accompanies the following publication: Title: Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task Journal: Journal of the American Medical Informatics Association (JAMIA) The evaluation data (in addition to the training data) was used for the SMM4H-2017 shared tasks, co-located with AMIA-2017 (Washington DC). Please use the latest version of these files to avoid inconsistencies: (currently v2)

Files

Steps to reproduce

Please refer to the README files within each subtask folder

Institutions

University of Pennsylvania

Categories

Epidemiology, Health Informatics, Data Science, Drug Adverse Reactions, Natural Language Processing, Machine Learning, Pharmacovigilance, Medication, Text Mining, Twitter

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