A suicide risk identification method based on a microblog text
A risk identification and text technology, applied in the network field, can solve the problems of low timeliness and high cost of suicide risk assessment, achieve good social and economic benefits, improve coverage and speed, and avoid detection effects.
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[0046] Example: such as figure 1 As shown, a suicide risk identification method based on microblog text includes the following steps: Step S1: Establish suicide microblog corpus;
[0047] Step S2: Establish a suicide microblog corpus identification model;
[0048] Step S3: Experimental design to find the optimal model;
[0049] Step S4: Judgment result output.
[0050] In this embodiment, the function of automatically capturing microblog text data of a specific user is realized by building a microblog corpus collection system. Afterwards, through a series of corpus preprocessing operations, the suicide research microblog corpus was finally established, and a neural network model nC-BiLSTM with a mixed architecture was built, using multiple convolution layers with different convolution kernels to extract local feature information. The bidirectional long-short-term memory network layer extracts the contextual semantic feature information of the sentence, which can be applied ...
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