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Identifying Emotion Labels from Psychiatric Social Texts Using a Bi-directional LSTM-CNN Model
2020
IEEE Access
Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification models can quickly and effectively highlight indicators of emotional stress in the text of such discussions. Such communities also provide patients with important knowledge to help better understand their condition. This study proposes a deep learning framework combining word embeddings,
doi:10.1109/access.2020.2985228
fatcat:nqqqxgssufcn3c6xaswqm4wzcm