Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey-Reference-Cited by-同舟云学术

Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey

Published:2023-08 Issue:4 Volume:10 Page:1568-1586
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Hasib Khan Md¹^ORCID,Islam Md Rafiqul²^ORCID,Sakib Shadman³,Akbar Md. Ali⁴^ORCID,Razzak Imran⁵^ORCID,Alam Mohammad Shafiul⁶

Affiliation:

1. Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh

2. Business Information Systems, Australian Institute of Higher Education Pty Ltd., Sydney, NSW, Australia

3. Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA

4. Department of Computer Science and Engineering, Bangladesh University, Dhaka, Bangladesh

5. School of Computer Science, University of New South Wales, Sydney, NSW, Australia

6. Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6570650/10201450/10108975.pdf?arnumber=10108975

Reference136 articles.

1. Decision Tree Based Depression Classification from Audio Video and Language Information

2. Classification study on eye movement data: Towards a new approach in depression detection

3. Detecting Depression Using K-Nearest Neighbors (KNN) Classification Technique

4. Mitigating confounding factors in depression detection using an unsupervised clustering approach;morales;Proc Comput Mental Health Workshop (CHI),2016

5. Explainable depression detection with multi-modalities using a hybrid deep learning model on social media;zogan;arXiv 2007 02847,2020

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