Olumide Ebenezer Ojo


2022

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CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts
Atnafu Lambebo Tonja | Olumide Ebenezer Ojo | Mohammed Arif Khan | Abdul Gafar Manuel Meque | Olga Kolesnikova | Grigori Sidorov | Alexander Gelbukh
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

This paper describes our submissions for the Social Media Mining for Health (SMM4H) 2022 shared tasks. We participated in 2 tasks: a) Task 4: Classification of Tweets self-reporting exact age and b) Task 9: Classification of Reddit posts self-reporting exact age. We evaluated the two( BERT and RoBERTa) transformer based models for both tasks. For Task 4 RoBERTa-Large achieved an F1 score of 0.846 on the test set and BERT-Large achieved an F1 score of 0.865 on the test set for Task 9.