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Predicting mental health disorder on twitter using machine learning techniques

Social media gives young people a place to voice their difficulties and trade opinions on current events in the digital era. Therefore, it is possible to analyze human behavior using internet media. However, the illness of mental disorder is common yet often ignored. Social media makes it possible t...

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Bibliographic Details
Main Authors: Lim, Shi Ru, Nur Shazwani, Kamarudin, Nur Hafieza, Ismail, Nik Ahmad, Hisham Ismail, Nor Ashikin, Mohamad Kamal
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40339/1/Predicting%20mental%20health%20disorder%20on%20Twitter.pdf
http://umpir.ump.edu.my/id/eprint/40339/2/Predicting%20mental%20health%20disorder%20on%20twitter%20using%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40339/
https://doi.org/10.1109/ICSECS58457.2023.10256420
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http://umpir.ump.edu.my/id/eprint/40339/1/Predicting%20mental%20health%20disorder%20on%20Twitter.pdf
http://umpir.ump.edu.my/id/eprint/40339/2/Predicting%20mental%20health%20disorder%20on%20twitter%20using%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40339/
https://doi.org/10.1109/ICSECS58457.2023.10256420

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