Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media
Mental health disorders pose a significant global public health challenge. Social media data provides insights into these conditions. Analysing text can help identify indications of mental health disorders through text-based analysis. However, despite the large number of studies on the analysis of...
Main Authors: | Sutranggono, Abi Nizar, Sarno, Riyanarto, Ghozali, Imam |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Utara Malaysia Press
2024
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/30349/1/JICT%2023%2001%202024%2077-104.pdf https://doi.org/10.32890/jict2024.23.1.4 |
Similar Items
-
Text classification using modified multi class association rule
by: Kamaruddin, Siti Sakira, et al.
Published: (2016) -
Improving multi-class text classification with Naive Bayes
by: Rennie, Jason D. M. (Jason Daniel Malyutin), 1976-
Published: (2014) -
Multi-class classification of EEG in a brain-computer interface
by: Chong, Cherrie Ning Hui
Published: (2018) -
Multi-class classification using deep learning
by: Cao, Haozhi
Published: (2019) -
Multi-class classification using deeping learning
by: Bo, Hu
Published: (2019)