[HTML][HTML] Detecting suicidality on social media: Machine learning at rescue
The rise in technological advancements and Social Networking Sites (SNS) made people
more engaged in their virtual lives. Research has revealed that people feel more …
more engaged in their virtual lives. Research has revealed that people feel more …
Detecting suicidality in Arabic Tweets using machine learning and deep learning techniques
A Abdulsalam, A Alhothali, S Al-Ghamdi - Arabian Journal for Science and …, 2024 - Springer
Social media platforms have revolutionized traditional communication techniques by
allowing people to connect instantaneously, openly, and frequently. As people use social …
allowing people to connect instantaneously, openly, and frequently. As people use social …
Suicidal ideation detection on social media: a machine learning approach
Mental illness is a huge problem among the population, identifying the individual who is at
risk of suicide is necessary and is the first and foremost step to averting suicide. The purpose …
risk of suicide is necessary and is the first and foremost step to averting suicide. The purpose …
Multimodal Depression Detection Based on Self-Attention Network With Facial Expression and Pupil
X Liu, H Shen, H Li, Y Tao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Depression is a major mental health issue in contemporary society, with an estimated 350
million people affected globally. The number of individuals diagnosed with depression …
million people affected globally. The number of individuals diagnosed with depression …
A Data Preprocessing and Stacking Ensemble Learning Model for Improved CHD Prediction
Abstract Coronary Heart Disease (CHD) is a significant public health concern, posing a
substantial burden on individuals, families and healthcare systems, necessitating accurate …
substantial burden on individuals, families and healthcare systems, necessitating accurate …
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 …
Prediction of suicidal ideation in a new Arabic annotated dataset
O Benlaaraj, I El Jaafari, A Ellahyani… - … Networks and Mobile …, 2022 - ieeexplore.ieee.org
One of the major health issues facing the world is suicide. Nearly up to 700000 individuals
commit it yearly. Nowa-days, people are progressively accessing social media platforms to …
commit it yearly. Nowa-days, people are progressively accessing social media platforms to …
PSO Algorithm-Based Management Method and Measurement of Enterprise Employee Performance Evaluation
M Li - 2023 IEEE International Conference on Integrated …, 2023 - ieeexplore.ieee.org
The main purpose of PE in enterprises is to motivate employees to work hard, enhance their
sense of responsibility and mission, and create value for the enterprise. And EPE as an …
sense of responsibility and mission, and create value for the enterprise. And EPE as an …
Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction
In today's world, there is a lot of anxiety about suicidal thoughts that is conveyed on social
media platforms, and people are now sharing all kinds of feelings on social media forums …
media platforms, and people are now sharing all kinds of feelings on social media forums …
Systematic Review of Learning Models for Suicidal Ideation on Social Media
A Sharma, B Kaushik - Proceedings of International Conference on Recent …, 2023 - Springer
In present-day society, the major critical issues are mental health problems which eventually
turn out to be suicidal ideation. Premature detection of suicidal thoughts among people is …
turn out to be suicidal ideation. Premature detection of suicidal thoughts among people is …