Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media
B Wang, P Deng, S Chen, Y Zhao, B Qin - Proceedings of the …, 2024 - ojs.aaai.org
The objective of suicide risk detection on social media is to identify individuals who may
attempt suicide and determine their suicide risk level based on their online behavior …
attempt suicide and determine their suicide risk level based on their online behavior …
Data preprocessing based connecting suicidal and help-seeking behaviours
A Mittal, A Goyal, M Mittal - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
Everyone knows that although there are so many researchers and suicide prevention teams
that are active out there to help individuals with mental health problems, many cases of …
that are active out there to help individuals with mental health problems, many cases of …
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
The COVID-19 pandemic has escalated mental health crises worldwide, with social isolation
and economic instability contributing to a rise in suicidal behavior. Suicide can result from …
and economic instability contributing to a rise in suicidal behavior. Suicide can result from …
[引用][C] Machine classification for suicide ideation detection on Twitter
M Manisha, A Kodali, V Srilakshmi - … Journal of Innovative Technology and Exploring …, 2019
[HTML][HTML] Innovative Use of Self-Attention-Based Ensemble Deep Learning for Suicide Risk Detection in Social Media Posts
Suicidal ideation constitutes a critical concern in mental health, adversely affecting
individuals and society at large. The early detection of such ideation is vital for providing …
individuals and society at large. The early detection of such ideation is vital for providing …
Performance evaluation of different machine learning techniques using twitter data for identification of suicidal intent
A Ramachandran, A Gadwe, D Poddar… - … on Electronics and …, 2020 - ieeexplore.ieee.org
Rise of Social media influence has brought about immense changes in the way a person
lives their life. Sharing thoughts, ideas and expression over a public platform gives a deep …
lives their life. Sharing thoughts, ideas and expression over a public platform gives a deep …
Suicidal Thought Detection using Max Voting Ensemble Technique
R Goel, M Digalwar - Procedia Computer Science, 2024 - Elsevier
Online social networking (SN) data presents a data stream that is rich in context and
temporal information. It holds promise for predicting suicidal thoughts and behaviors. The …
temporal information. It holds promise for predicting suicidal thoughts and behaviors. The …
Automatic identification of suicidal ideation in texts using cascade classifiers
MC García-Galindo, Á Hernández-Castañeda… - … Conference on Artificial …, 2022 - Springer
Abstract According to the 2021 World Health Organization report, suicide is a universal
phenomenon that causes about 703,000 deaths per year, being among the first five causes …
phenomenon that causes about 703,000 deaths per year, being among the first five causes …
Analysis of Post centric suicidal expressions and classification on the Social Media Post: Twitter
C Lalrinmawii, S Debnath - 2020 11th International …, 2020 - ieeexplore.ieee.org
Suicide has always been a global issue and the detection of suicidal ideation in the masses
that are not under clinical care proves to be a challenge. Fortunately, with the explosion of …
that are not under clinical care proves to be a challenge. Fortunately, with the explosion of …
[HTML][HTML] Suicide risk assessment using machine learning and social networks: a scoping review
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …