Psychological assessment method based on heterogeneous graph network
In view of the problems of semantic sparseness and lack of integration of prior knowledge in the existing methods of psychological assessment using social media data through computer technology,a psychological assessment method based on heterogeneous graph network is proposed.A heterogeneous graph is constructed by extracting users'profile information,text information,and topic information on social media,and the psychological assessment problem is described as a node classification problem.On the one hand,building a knowledge graph of social media users'mental state aims to integrate prior knowledge and represent the users'profile information;On the other hand,constructing a heterogeneous graph to integrate heterogeneous information and make semantic complements,and the hierarchical attention mechanism is used to pay attention to the node weights to obtain the evaluation results.Experiments are carried out on the Twitter and Reddit dataset,and the results show that the model is effective in classifying users'mental states,and the key performance is significantly improved.
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