Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media

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...

Bibliográfalaš dieđut
Váldodahkkit:	Sutranggono, Abi Nizar, Sarno, Riyanarto, Ghozali, Imam
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	Universiti Utara Malaysia Press 2024
Fáttát:	QA75 Electronic computers. Computer science
Liŋkkat:	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

Geahča maid

Improving multi-class text classification with Naive Bayes
Dahkki: Rennie, Jason D. M. (Jason Daniel Malyutin), 1976-
Almmustuhtton: (2014)

Text classification using modified multi class association rule
Dahkki: Kamaruddin, Siti Sakira, et al.
Almmustuhtton: (2016)

Multi-class classification of EEG in a brain-computer interface
Dahkki: Chong, Cherrie Ning Hui
Almmustuhtton: (2018)

Multi-class classification using deep learning
Dahkki: Cao, Haozhi
Almmustuhtton: (2019)

Multi-class classification using deeping learning
Dahkki: Bo, Hu
Almmustuhtton: (2019)

Improving Multi-class Text Classification with Naive Bayes
Dahkki: Rennie, Jason D. M.
Almmustuhtton: (2004)

An Ensemble of Kernel Ridge Regression for Multi-class Classification
Dahkki: Suganthan, Ponnuthurai Nagaratnam, et al.
Almmustuhtton: (2018)

Models for multi-view object class detection
Dahkki: Chiu, Han-Pang
Almmustuhtton: (2010)

Design and analysis of a multi-media, multi-access data network
Dahkki: Vom Lehn, John Christian
Almmustuhtton: (2005)

Adaptive dual threshold multi-class scheduling for packet switch.
Dahkki: Abdul Rahman, Abdul Aziz, et al.
Almmustuhtton: (2010)

Multi-media communications and software technologies
Dahkki: Tan Hee, Beng Kuan
Almmustuhtton: (2008)

Subspace and graph methods to leverage auxiliary data for limited target data multi-class classification, applied to speaker verification
Dahkki: Karam, Zahi Nadim
Almmustuhtton: (2011)

A realization of classification success in multi sensor data fusion
Dahkki: Masnan, Maz Jamilah, et al.
Almmustuhtton: (2012)

Multi-view human action recognition using wavelet data reduction and multi-class classification
Dahkki: Aryanfar, Alihossein, et al.
Almmustuhtton: (2015)

Multi-class heterogeneous domain adaptation
Dahkki: Zhou, Joey Tianyi, et al.
Almmustuhtton: (2019)

One-class classification algorithm
Dahkki: Wong, Li Wen
Almmustuhtton: (2024)

Review on steganography methods in multi-media domain
Dahkki: Din, Roshidi, et al.
Almmustuhtton: (2019)

Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection
Dahkki: Mujtaba, G., et al.
Almmustuhtton: (2017)

Online learning algorithms for multi-category classification
Dahkki: Luu, Tuan Nghia.
Almmustuhtton: (2012)

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks
Dahkki: Lee, Sue Han, et al.
Almmustuhtton: (2018)

Speedup for multi-level parallel computing
Dahkki: Tang, Shanjiang, et al.
Almmustuhtton: (2013)

Multi-level simulation for VLSI design/
Dahkki: 286189 Hill, Dwight D., et al.
Almmustuhtton: (1987)

Recommendation systems based on extreme multi-label classification
Dahkki: Chua, Song Ann
Almmustuhtton: (2021)

Multi-class object layout with unsupervised image classification and object localization
Dahkki: Lim, S, et al.
Almmustuhtton: (2011)

Multi-Class Learning: Simplex Coding And Relaxation Error
Dahkki: Mroueh, Youssef, et al.
Almmustuhtton: (2011)

Topic identification method for textual document
Dahkki: Jamil, Nurul Syafidah, et al.
Almmustuhtton: (2017)

Textual practictioners: a comparison of hypertext theory and phenomenology of reading
Dahkki: Carusi, A
Almmustuhtton: (2006)

A statistical multi-experts approach to image classification and segmentation
Dahkki: Mui, Lik
Almmustuhtton: (2007)

A survey of multi-biometrics and fusion levels
Dahkki: Khalaf, Emad Taha, et al.
Almmustuhtton: (2015)

Sparse multi-level representations for text retrieval
Dahkki: Isbell, Charles L. (Charles Lee)
Almmustuhtton: (2009)

Predicting Mental Health Disorder On Twitter Using Machine Learning Techniques
Dahkki: Lim, Shi Ru
Almmustuhtton: (2022)

A multi-image dataset based on social media
Dahkki: Gan, Junjie
Almmustuhtton: (2025)

Preliminary study on an ontology learning from textual data
Dahkki: Saad, Saidah, et al.
Almmustuhtton: (2006)

Classification of deepfakes and ‘beautified’ media
Dahkki: Addi, Debashree
Almmustuhtton: (2021)

MMVFL: a simple vertical federated learning framework for multi-class multi-participant scenarios
Dahkki: Feng, Siwei, et al.
Almmustuhtton: (2024)

Textual knowledge integration for financial asset management
Dahkki: Xing, Frank Zhutian
Almmustuhtton: (2018)

Rule-based filtering algorithm for textual document
Dahkki: Jamil, Nurul Syafidah, et al.
Almmustuhtton: (2017)

Image and audio steganography to hide textual data
Dahkki: Gaikwad Apurv Dnyandeo
Almmustuhtton: (2021)

Improved margin multi-class classification using dendritic neurons with morphological learning
Dahkki: Hussain, Shaista, et al.
Almmustuhtton: (2015)

Voting base online sequential extreme learning machine for multi-class classification
Dahkki: Cao, Jiuwen, et al.
Almmustuhtton: (2013)