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) …
Taking stock of the toolkit: An overview of relevant automated content analysis approaches and techniques for digital journalism scholars
When analyzing digital journalism content, journalism scholars are confronted with a
number of substantial differences compared to traditional journalistic content. The sheer …
number of substantial differences compared to traditional journalistic content. The sheer …
Sentiment strength detection in short informal text
A huge number of informal messages are posted every day in social network sites, blogs,
and discussion forums. Emotions seem to be frequently important in these texts for …
and discussion forums. Emotions seem to be frequently important in these texts for …
[HTML][HTML] Detecting suicidality on Twitter
Twitter is increasingly investigated as a means of detecting mental health status, including
depression and suicidality, in the population. However, validated and reliable methods are …
depression and suicidality, in the population. However, validated and reliable methods are …
A knowledge-based recommendation system that includes sentiment analysis and deep learning
Online social networks provide relevant information on users' opinion about different
themes. Thus, applications, such as monitoring and recommendation systems (RS) can …
themes. Thus, applications, such as monitoring and recommendation systems (RS) can …
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 …
Machine classification and analysis of suicide-related communication on twitter
The World Wide Web, and online social networks in particular, have increased connectivity
between people such that information can spread to millions of people in a matter of …
between people such that information can spread to millions of people in a matter of …
A time-aware transformer based model for suicide ideation detection on social media
Social media's ubiquity fosters a space for users to exhibit suicidal thoughts outside of
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content
Suicidal ideation (SI), as a psychiatric emergency, requires immediate assistance and
intervention. Most people with SI do not actively seek help from mental health professionals …
intervention. Most people with SI do not actively seek help from mental health professionals …
Building and using personal knowledge graph to improve suicidal ideation detection on social media
A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …
number of causes behind why an individual might suffer from suicidal ideation. As the most …