Early Depression Detection from Social Network Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Early Depression Detection from Social Network Using Deep Learning Techniques

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Region 10 Symposium (TENSYMP)
language:
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Author:

Shah Faisal Muhammad,Ahmed Farzad,Saha Joy Sajib Kumar,Ahmed Sifat,Sadek Samir,Shil Rimon,Kabir Md. Hasanul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9230456/9230461/09231008.pdf?arnumber=9231008

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Delineating emotional differences between depressed and non-depressed individuals using a novel multimodal framework;Multimedia Tools and Applications;2024-08-29

2. Mental-Health: An NLP-Based System for Detecting Depression Levels through User Comments on Twitter (X);Mathematics;2024-06-21

3. Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media;Social Network Analysis and Mining;2024-04-04

4. Depression Detection on e-Risk 2017 using Long Short-term Memory Models;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

5. An ensemble approach to detect depression from social media platform: E-CLS;Multimedia Tools and Applications;2024-02-06

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