Stratification of Depressed and Non-Depressed Texts from Social Media using LSTM and its Variants-Reference-Cited by-同舟云学术

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Stratification of Depressed and Non-Depressed Texts from Social Media using LSTM and its Variants

Published:2024 Issue: Volume:235 Page:1353-1363
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

G Keerthan Kumar T,R Anoop,Koolagudi Shashidhar G,Rao Trupthi,Kodipalli Ashwini

Publisher

Elsevier BV

Reference20 articles.

1. Digital training for non-specialist health workers to deliver a brief psychological treatment for depression in India: Protocol for a three-arm randomized controlled trial;Naslund;Contemporary clinical trials,2021

2. Identifying peer experts in online health forums;Vydiswaran;BMC medical informatics and decision making,2019

3. Psychological analysis for depression detection from social networking sites;Gupta;Computational Intelligence and Neuroscience,2022

4. Detection of depression-related posts in reddit social media forum;Tadesse;IEEE Access,2019

Cited by 1 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. ECG Signal Classification using Continuous Wavelet Transform Scalogram and Convolutional Neural Network;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

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