Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders
This paper describes our submission to the 5th edition of the Social Media Mining for Health Applications (SMM4H) shared task 1. Task 1 aims at the automatic classification of tweets that mention a medication or a dietary supplement. This task is specifically challenging due to its highly imbalanced dataset, with only 0.2% of the tweets mentioning a drug. For our submission, we particularly focused on several pretrained encoders for text classification. We achieve an F1 score of 0.75 for the positive class on the test set.
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ClassificationSentencetext-classificationText ClassificationSimilar Papers 제목 키워드 기반
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