This paper describes a classifier for tweets that mention medications or supplements, based on a pretrained transformer. We developed such a system for our participation in Subtask 1 of the Social Media Mining for Health Application workshop, which featured an extremely unbalanced dataset. The model showed promising results, with an F1 of 0.8 (task mean: 0.66).

FBK@SMM4H2020: RoBERTa for detecting medications on Twitter

Casola, Silvia;Lavelli, Alberto
2020-01-01

Abstract

This paper describes a classifier for tweets that mention medications or supplements, based on a pretrained transformer. We developed such a system for our participation in Subtask 1 of the Social Media Mining for Health Application workshop, which featured an extremely unbalanced dataset. The model showed promising results, with an F1 of 0.8 (task mean: 0.66).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/324146
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