Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng and Lung-Hao Lee.
In Proceedings of the 7th Social Media Mining for Health Applications (#SMM4H’22) Workshop and Shared Tasks , pages 62-64.
Abstract
This study describes our proposed system design for the SMM4H 2022 Task 8. We fine-tune the BERT, RoBERTa, ALBERT, XLNet and ELECTRA transformers and their connecting classifiers. Each transformer model is regarded as a standalone method to detect tweets that self-reported chronic stress. The final output classification result is then combined using the majority voting ensemble mechanism. Experimental results indicate that our approach achieved a best F1-score of 0.73 over the positive class.
