Suicidal Ideation and Mental Disorder Detectionwith Attentive Relation Networks
Table 9: Performance on each class of UMD suicidality dataset
['Label', 'Metrics', 'BiLSTM', 'SSA', 'RN']
This section studies the performance on each class of UMD dataset. We select two baselines with better performance for comparison. The results are shown in Fig. The proposed RN-based model is poor on predicting post without suicidality, but good at predicting posts with high suicide risk. Unfortunately, all these three models have very poor capacity on predicting posts with low suicide risk. In the UMD dataset with a small volume of instances, these models tend to predict posts as classes with more instances, even though we apply penalty on the objective function.