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Automatic identification of suicide notes with a transformer-based deep learning model
2021
Internet Interventions
A B S T R A C T Suicide is one of the leading causes of death worldwide. At the same time, the widespread use of social media has led to an increase in people posting their suicide notes online. Therefore, designing a learning model that can aid the detection of suicide notes online is of great importance. However, current methods cannot capture both local and global semantic features. In this paper, we propose a transformer-based model named TransformerRNN, which can effectively extract
doi:10.1016/j.invent.2021.100422
fatcat:7wo5iqsrhrfjtldlgcyucn2eda