UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
Table 4: The official UM-IU@LING results (SVM) for subtask C.
['[BOLD] System', '[BOLD] F1 macro', '[BOLD] Accuracy']
The macro F1 score of the SVM classifier is 0.5243, which is considerably higher than the baseline and ranks the system 27th out of 65 submissions. This clearly shows that the sparsity of training data for the minority class OTH affects the performance of our classifier negatively.