Hao Tseng
2019
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
V.G.Vinod Vydiswaran
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Grace Ganzel
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Bryan Romas
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Deahan Yu
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Amy Austin
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Neha Bhomia
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Socheatha Chan
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Stephanie Hall
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Van Le
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Aaron Miller
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Olawunmi Oduyebo
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Aulia Song
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Radhika Sondhi
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Danny Teng
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Hao Tseng
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Kim Vuong
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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.
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Co-authors
- V.G.Vinod Vydiswaran 1
- Grace Ganzel 1
- Bryan Romas 1
- Deahan Yu 1
- Amy Austin 1
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Venues
- WS1