Oguzhan Gencoglu

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2020

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Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter
Oguzhan Gencoglu
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task

This paper describes our approach for detecting adverse drug effect mentions on Twitter as part of the Social Media Mining for Health Applications (SMM4H) 2020, Shared Task 2. Our approach utilizes multilingual sentence embeddings (sentence-BERT) for representing tweets and Bayesian hyperparameter optimization of sample weighting parameter for counterbalancing high class imbalance.
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