Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …
social media. Thus, several studies found that people who are contemplating suicide can be …
A comparative analysis on suicidal ideation detection using NLP, machine, and deep learning
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 …
feelings towards various issues as they share their views with their friends and family …
Leveraging reddit for suicidal ideation detection: A review of machine learning and natural language processing techniques
Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …
Detection of suicide ideation in social media forums using deep learning
Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …
individuals use social forum platforms to discuss their problems or get access to information …
[HTML][HTML] An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
S Renjith, A Abraham, SB Jyothi, L Chandran… - Journal of King Saud …, 2022 - Elsevier
Suicidal ideation detection from social media is an evolving research with great challenges.
Many of the people who have the tendency to suicide share their thoughts and opinions …
Many of the people who have the tendency to suicide share their thoughts and opinions …
Exploring and learning suicidal ideation connotations on social media with deep learning
The increasing suicide rates amongst youth and its high correlation with suicidal ideation
expression on social media warrants a deeper investigation into models for the detection of …
expression on social media warrants a deeper investigation into models for the detection of …
Supervised learning for suicidal ideation detection in online user content
Early detection and treatment are regarded as the most effective ways to prevent suicidal
ideation and potential suicide attempts—two critical risk factors resulting in successful …
ideation and potential suicide attempts—two critical risk factors resulting in successful …
A computational approach to feature extraction for identification of suicidal ideation in tweets
Technological advancements in the World Wide Web and social networks in particular
coupled with an increase in social media usage has led to a positive correlation between the …
coupled with an increase in social media usage has led to a positive correlation between the …
Suicidal ideation detection: A review of machine learning methods and applications
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) …
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …
[HTML][HTML] Suicide ideation detection from online social media: A multi-modal feature based technique
According to an estimate of World Health Organization, each year approximately 700,000
people die by suicide, with many more contemplating suicide. Early detection of suicidal …
people die by suicide, with many more contemplating suicide. Early detection of suicidal …