Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (4): 1078-1085.doi: 10.13229/j.cnki.jdxbgxb.20220704

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Psychological assessment method based on heterogeneous graph network

Zhi-gang JIN1(),Ren-jun SU1,Xiao-fang ZHAO2   

  1. 1.School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China
    2.School of Computer and Information Engineering,Tianjin Chengjian University,Tianjin 300384,China
  • Received:2022-06-06 Online:2024-04-01 Published:2024-05-17

Abstract:

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.

Key words: artificial intelligence, heterogeneous graph network, psychological assessment, social media, knowledge graph

CLC Number: 

  • TP183

Fig.1

Method schmatic diagram and heterogeneousgraph model structure"

Fig.2

Knowledge graph of users' psychological profile"

Table 1

Examples of vocabulary related to physical information, past experiences, and personality factors"

属性相关词
身体信息unenergetic, indifferent, lackadaisical, dull, tired, bored, empty, overworked, drowsy, lethargic, sluggish, slow-moving
既往经历Amitriptyline, Fluoxetine, Sertraline, seppuku, suicide, self-immolation, self-slaughter,
人格因素perfect, perfectionist, not enough, fat, bad, weak, tired, unconfident, afraid, anxious

Table 2

Examples of Twitter dataset"

抑郁用户标志文本抑郁用户文本非抑郁用户文本
I've been diagnosed with Generalized Anxiety Disorder and Clinical Depression.Tbh if I died my parents would probably yell at me.While i miss having cool nice cars that go fast it's nice paying like 250 per service.
I only caught the depression one...I have been diagnosed for about 5 years…I've forgotten how to breathe.It was Snowing and now it's raining, I prefer the snow!

Table 3

Examples of Reddit dataset"

标签Not DepressedModerately DepressedSeverely Depressed
示例Happy New year everyone, meditate today. Hope all is well.Sat in the dark and cried myself going into the new year.I cut myself today: I cut myself while in the shower today.
训练集1 9716 019901
开发集1 8302 306360

Table 4

Comparison experiment results of Twitter dataset"

方法AccuracyF1PrecisionRecall
MDL84.884.984.885.0
MSNL81.881.881.881.8
WDL76.876.876.976.8
NB72.472.872.772.8
GRU82.482.482.582.3
GRU+RS76.075.676.076.8
BERT84.4584.4084.5084.40
RoBERTa84.9584.7084.6084.90
DANs84.884.884.884.8
Modality Attention86.686.486.886.2
HGATKG87.887.687.787.5

Table 5

Comparison experiment results of Reddit dataset %"

方法AccuracyF1PrecisionRecall
BERTlarge60.3056.6056.8056.60
RoBERTalarge66.4060.5062.9059.10
HGATKG75.2563.9075.4059.20

Fig.3

Ablation experiment"

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