A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data-Reference-Cited by-同舟云学术

A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data

Published:2024-02 Issue:1 Volume:11 Page:1430-1439
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Guo Yanrong¹^ORCID,Liu Jilong¹,Wang Lei²,Qin Wei¹^ORCID,Hao Shijie¹^ORCID,Hong Richang¹^ORCID

Affiliation:

1. Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology (HFUT), Hefei, China

2. School of Computing and Information Systems, Singapore Management University, Bras Basah, Singapore

Funder

National Key Research and Development Program

National Nature Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10414252/10105271.pdf?arnumber=10105271

Reference52 articles.

1. ABC of psychological medicine: Depression in medical patients

2. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic

3. The Costs of Depression

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