Van Le


Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
V.G.Vinod Vydiswaran | Grace Ganzel | Bryan Romas | Deahan Yu | Amy Austin | Neha Bhomia | Socheatha Chan | Stephanie Hall | Van Le | Aaron Miller | Olawunmi Oduyebo | Aulia Song | Radhika Sondhi | Danny Teng | Hao Tseng | Kim Vuong | Stephanie Zimmerman
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task

We participated in Task 1 of the Social Media Mining for Health Applications (SMM4H) 2019 Shared Tasks on detecting mentions of adverse drug events (ADEs) in tweets. Our approach relied on a text processing pipeline for tweets, and training traditional machine learning and deep learning models. Our submitted runs performed above average for the task.