Examining Social Media Posts for Identification of Anxiety and Depression Utilizing Machine Learning Techniques-Reference-Cited by-同舟云学术

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Examining Social Media Posts for Identification of Anxiety and Depression Utilizing Machine Learning Techniques

Published:2023-11-01 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
language:
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Author:

Satpute Babasaheb S.¹,Rahane Wasudeo P.²,Bharati Rajesh³

Affiliation:

1. School of Engg. & Technology, JAIN (Deemed to be University),Dept. of Computer Science and Engg.,Bangalore,India

2. STES's NBN Sinhgad School of Engg.,Dept. of Information Technology,Pune,India

3. Dr. D.Y. Patil Institute of Technology,Dept. of Computer Engg.,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390499.pdf?arnumber=10390499

Reference27 articles.

1. Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness

2. Machine learning in mental health: a scoping review of methods and applications

3. Predicting future mental illness from social media: A big-data approach

4. The electronically activated recorder (EAR): A device for sampling naturalistic daily activities and conversations;Dabbs;Behavior Research Methods, Instruments, & Computers,2011

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