Abstract
Purpose: Traditional psychological crisis intervention requires one-to-one and long-term consultation by psychotherapists, which has high time cost and expense. The public has a strong realistic demand for more convenient psychological crisis intervention services. In order to solve the above problem, this paper presents an approach which transforms the actual professional psychological consultation data into knowledge graph, establishes a terminology/ontology of psychological crisis intervention, and constructs an automatic service prototype system of psychological crisis intervention. Method: This paper takes actual professional psychological crisis intervention cases as prior knowledge, expresses and stores them in the form of triples. The natural language generation model based on GPT-2 model is constructed by using the data in PsyQA as the training set for several rounds of training. The terminology of psychological crisis intervention is constructed. Then the psychological crisis intervention system is constructed, including modules as keyword extraction, deep semantic matching, knowledge graph retrieval crisis intervention strategy providing module and natural language generation. Result: The test results show that for the users which can correctly input the psychological problem description text, the system can Identify crisis types, provide the corresponding intervention strategies and return the targeted crisis intervention text. Conclusion: This system avoids the constraints of traditional crisis intervention such as high price, poor timeliness and few professionals, and provides a feasible method for people who need to get simple crisis intervention services in time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Guan, L., Hao, B.: A pilot study of differences in behavioral and linguistic characteristics between Sina suicide microblog users and Sina microblog users without suicide idea. Chin. J. Epidemiol. 36(5), 421–425 (2015)
Li, J., Tong, H., Zhang, Y., et al.: Study on the relationship between the pathological time of Heyi and the onset time of depression in Mongolian medicine. Global Chin. Med. 9(6), 678–683 (2016)
Kessler, R.C., Aguilar-Gaxiola, S., Alonso, J., et al.: The global burden of mental disorders: an update from the WHO World Mental Health (WMH) surveys. Epidemiol. Psychiatric Sci. 18(1), 23–33 (2009)
Xue, X., Li, W.: Research progress of stigma in patients with depression. J. Clin. Psychiatry 28(3), 212–214 (2018)
Deng, Z.: Knowledge graph construction technology and application based on artificial intelligence. Radio Eng. 52(05), 766–774 (2022)
Ji, J.: Technical application of crisis intervention. Chin. J. Behav. Med. Brain Sci. 21(04), 299–301 (2016)
Wang, L., Zhao, J., Xu, Y.: Review of research on psychological crisis intervention. J. Jilin Inst. Educ. 27(09), 139–141 (2011)
Cai, Y., et al.: A hybrid model for opinion mining based on domain sentiment dictionary. Int. J. Mach. Learn. Cybern. 10(8), 2131–2142 (2017). https://doi.org/10.1007/s13042-017-0757-6
Sun, H, et al.: PsyQA: a Chinese dataset for generating long counseling text for mental health support (2021)
Huang, Z., Min, Y., Lin, F., et al.: Temporal characteristics of suicide information in social media. Chin. Digit. Med. 14(3), 7–10 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yao, Y., Lin, S., Huang, Z., Li, S., Guo, C., Wu, Y. (2022). Research on the Construction of Psychological Crisis Intervention Strategy Service System. In: Traina, A., Wang, H., Zhang, Y., Siuly, S., Zhou, R., Chen, L. (eds) Health Information Science. HIS 2022. Lecture Notes in Computer Science, vol 13705. Springer, Cham. https://doi.org/10.1007/978-3-031-20627-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-031-20627-6_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20626-9
Online ISBN: 978-3-031-20627-6
eBook Packages: Computer ScienceComputer Science (R0)