Deep Learning Approach for Measuring the Severity of Depression Using Social Media-Reference-Cited by-同舟云学术

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Deep Learning Approach for Measuring the Severity of Depression Using Social Media

Published:2023-11-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Integration of Computational Intelligent System (ICICIS)
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Author:

Sable Nilesh P.¹,Patil Rajkumar²^ORCID,Gaikwad Vidya³,Deshmukh Jyoti Yogesh⁴,Buchade Amar⁵

Affiliation:

1. Bansilal Ramnath Agarwal Charitable Trust's Vishwakarma Institute of Information Technology,Department of Computer Science & Engineering (Artificial Intelligence),Pune,India

2. Design & Technology University,Deaprtment of Infotmation Technology MIT Art,Pune,India

3. Bansilal Ramnath Agarwal Charitable Trust's, Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,India

4. Marathwada Mitramandal's Institute of Technology,Department of Computer Engineering,Pune,India

5. Bansilal Ramnath Agarwal Charitable Trust's, Vishwakarma Institute of Information Technology,Department of Artificial Intelligence & Data Science,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430202/10430203/10430290.pdf?arnumber=10430290

Reference20 articles.

1. Measuring Psychological Stress Rate Using Social Media Posts Engagement

2. Depression Intensity Estimation via Social Media: A Deep Learning Approach

3. Twitter Analysis for Depression on Social Networks based on Sentiment and Stress

4. PRODEP: Smart Social Media Procrastination and Depression Tracker

5. Early Detection of Depression from Social Media Data Using Machine Learning Algorithms

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