Suicidal ideation detection on social media: A review of machine learning methods

A Abdulsalam, A Alhothali - Social Network Analysis and Mining, 2024 - Springer
Social media platforms have transformed traditional communication methods by allowing
users worldwide to communicate instantly, openly, and frequently. People use social media …

A hybridized feature extraction approach to suicidal ideation detection from social media post

FM Shah, F Haque, RU Nur… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Suicide's been a rising social problem. Concerned society has expressed worries regarding
the recent increase in committing suicide. There are different stages of the suicidal act. If one …

Deep learning model for suicidal identification of Chinese microblogs

T Wei, ZHU Tingshao - Journal of University of Chinese Academy …, 2018 - journal.ucas.ac.cn
With the development of internet, more and more people express their emotion and feeling
in social media, including suicidal ideation. There is a new opportunity for suicide …

[PDF][PDF] Suicidal ideation detection in online social content

S Ji - 2020 - researchgate.net
Suicide has become a serious social health issue in the modern society. Suicidal ideation is
people's thoughts about committing suicide. Many factors such as long-term exposure to …

[PDF][PDF] Quantifying suicidal ideation on social media using machine learning: a critical review

ST Rabani, QR Khan, AMUD Khanday - Iraqi Journal of Science, 2021 - iasj.net
Suicidal ideation is one of the severe mental health issues and a serious social problem
faced by our society. This problem has been usually dealt with through the psychological …

A Novel Multi-Class Technique for Suicide Detection in Twitter Dataset

P Basaligheh - Machine Learning Applications in …, 2021 - yashikajournals.com
Suicide is not an individual phenomenon, but it is also affected by factors of social and
environmental significance, it is a serious problem for public health around the globe. Unlike …

Suicidal ideation detection: A review of machine learning methods and applications

S Ji, S Pan, X Li, E Cambria, G Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

An Automated Tool to Detect Suicidal Susceptibility from Social Media Posts

Y Dus, G Nefedov - arXiv preprint arXiv:2310.06056, 2023 - arxiv.org
According to the World Health Organization (WHO), approximately 1.4 million individuals
died by suicide in 2022. This means that one person dies by suicide every 20 seconds …

Suicidality detection on social media using metadata and text feature extraction and machine learning

W Jung, D Kim, S Nam, Y Zhu - Archives of suicide research, 2023 - Taylor & Francis
In this study, we implemented machine learning models that can detect suicidality posts on
Twitter. We randomly selected and annotated 20,000 tweets and explored metadata and text …

A comparative analysis on suicidal ideation detection using NLP, machine, and deep learning

R Haque, N Islam, M Islam, MM Ahsan - Technologies, 2022 - mdpi.com
Social networks are essential resources to obtain information about people's opinions and
feelings towards various issues as they share their views with their friends and family …