A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth-Reference-Cited by-同舟云学术

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A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth

Published:2023 Issue:1 Volume:46 Page:551-562
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Alqazzaz Ali,Tabrez Quasim Mohammad,Mujib Alshahrani Mohammed,Alrashdi Ibrahim,Ayoub Khan Mohammad

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v46n1/51297/pdf

Reference17 articles.

1. Sentiment analysis of extremism in social media from textual information;Asif;Telematics and Informatics,2020

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

3. Utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences;Trotzek;IEEE Transactions on Knowledge and Data Engineering,2020

4. Detecting signals of associations between dietary supplement use and mental disorders from Twitter;Wang,2018

5. A comprehensive study on social network mental disorders detection via online social media mining;Shuai;IEEE Transactions on Knowledge and Data Engineering,2018

Cited by 3 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. A Comprehensive Analysis of Psychiatric Disorders Using Deep Learning;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning;Discover Artificial Intelligence;2023-11-20

3. Review and Content Analysis of Textual Expressions as a Marker for Depressive and Anxiety Disorders (DAD) Detection Using Machine Learning;2023-09-14

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