Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
Table 7: Ablation test for SDM with different inputs.
['Inputs', 'Accuracy', 'F1-score']
To show the contribution of different input to the final classification performance, we design an ablation test of SDM after removing different input. All SDMs are based on embedding So-Fasttext. Since not every post contains image and user’s features contain missing value, we do not only use images nor user’s feature as input of SDMs. Besides, user’s features play a more important role than visual information. The more modalities we use, the better performance we get.