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

作     者：Ali Alqazzaz Mohammad Tabrez Quasim Mohammed Mujib Alshahrani Ibrahim Alrashdi Mohammad Ayoub Khan 

作者机构：College of Computing and Information TechnologyUniversity of Bisha67714BishaSaudi Arabia Department of Computer ScienceCollege of Computer and Information SciencesJouf UniversitySakakaAljouf72388Saudi Arabia 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2023年第46卷第7期

页      面：551-562页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This project was funded by Deanship of Scientific Research University of Bisha Bisha Kingdom of Saudi Arabia 

主　　题：Emotions depression social media 

摘      要：Facebook,Twitter,Instagram,and other social media have emerged as excellent platforms for interacting with friends and expressing thoughts,posts,comments,images,and videos that express moods,sentiments,and *** this,it has become possible to examine user thoughts and feelings in social network data to better understand their perspectives and ***,the analysis of depression based on social media has gained widespread acceptance worldwide,other verticals still have yet to be *** depression analysis uses Twitter data from a publicly available web source in this *** assess the accuracy of depression detection,long-short-term memory(LSTM)and convolution neural network(CNN)techniques were *** method is both efficient and *** simulation results have shown an accuracy of 86.23%,which is reasonable compared to existing methods.