Mining Mental Health Signals: A Comparative Study of Four Machine Learning Methods for Depression Detection from Social Media Posts in Sorani Kurdish

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohammed, Idrees, Hassani, Hossein
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Idiom Detection in Sorani Kurdish Texts
by: Omer, Skala Kamaran, et al.
Published: (2025)

Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish
by: Shamal, Mariam, et al.
Published: (2025)

Automatic Text Summarization (ATS) for Research Documents in Sorani Kurdish
by: Abdulrahman, Rondik Hadi, et al.
Published: (2025)

Where Are You From? Let Me Guess! Subdialect Recognition of Speeches in Sorani Kurdish
by: Isam, Sana, et al.
Published: (2024)

Early Detection of Mental Health Issues Using Social Media Posts
by: Saeed, Qasim Bin, et al.
Published: (2025)

FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026)

Named Entity Recognition for the Kurdish Sorani Language: Dataset Creation and Comparative Analysis
by: Abdalla, Bakhtawar, et al.
Published: (2025)

Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges
by: Cao, Yuchen, et al.
Published: (2024)

Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media
by: Hasan, Khalid, et al.
Published: (2025)

NarrationDep: Narratives on Social Media For Automatic Depression Detection
by: Zogan, Hamad, et al.
Published: (2024)

Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
by: Zhai, Wei, et al.
Published: (2024)

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
by: Agarwal, Aakash Kumar, et al.
Published: (2025)

Making Old Kurdish Publications Processable by Augmenting Available Optical Character Recognition Engines
by: Yaseen, Blnd, et al.
Published: (2024)

Emotion Detection From Social Media Posts
by: Rahman, Md Mahbubur, et al.
Published: (2023)

Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
by: Qi, Hongzhi, et al.
Published: (2023)

Which one Performs Better? Wav2Vec or Whisper? Applying both in Badini Kurdish Speech to Text (BKSTT)
by: Adnan, Renas, et al.
Published: (2025)

Advanced Machine Learning Techniques for Social Support Detection on Social Media
by: Kolesnikova, Olga, et al.
Published: (2025)

Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME
by: Paul, Bidyarthi, et al.
Published: (2025)

From Detection to Discovery: A Closed-Loop Approach for Simultaneous and Continuous Medical Knowledge Expansion and Depression Detection on Social Media
by: Geng, Shuang, et al.
Published: (2025)

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
by: Zhang, Yeyubei, et al.
Published: (2025)

Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
by: Guo, Yuting, et al.
Published: (2024)

Offensive Language Detection on Social Media Using XLNet
by: Alothman, Reem, et al.
Published: (2025)

Depression detection from Social Media Bangla Text Using Recurrent Neural Networks
by: Ahmed, Sultan, et al.
Published: (2024)

Retrieval-Augmented Multimodal Depression Detection
by: Hou, Ruibo, et al.
Published: (2025)

Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models
by: Shao, Zongru, et al.
Published: (2025)

Cross-Platform Violence Detection on Social Media: A Dataset and Analysis
by: Chen, Celia, et al.
Published: (2025)

A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
by: Hasan, Khalid, et al.
Published: (2026)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
by: Burdisso, Sergio G., et al.
Published: (2019)

Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
by: Hasan, Khalid, et al.
Published: (2025)

Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media
by: Patel, Anantram, et al.
Published: (2025)

The Re-Label Method For Data-Centric Machine Learning
by: Guo, Tong
Published: (2023)

Social Support Detection from Social Media Texts
by: Ahani, Zahra, et al.
Published: (2024)

ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
by: O'Bryan, Lisa R., et al.
Published: (2024)

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
by: Chen, Feng, et al.
Published: (2024)

From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
by: Jhuma, Rabeya Amin, et al.
Published: (2025)

Using Machine Learning to Detect Fraudulent SMSs in Chichewa
by: Taylor, Amelia, et al.
Published: (2025)

Are Open-Weight LLMs Ready for Social Media Moderation? A Comparative Study on Bluesky
by: Chou, Hsuan-Yu, et al.
Published: (2026)

Identifying Cyberbullying Roles in Social Media
by: Sandoval, Manuel, et al.
Published: (2024)

A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention
by: Li, Shengjie, et al.
Published: (2024)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
by: Shang, Tianqi, et al.
Published: (2024)