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) …
Suicide prediction models: a critical review of recent research with recommendations for the way forward
Suicide is a leading cause of death. A substantial proportion of the people who die by
suicide come into contact with the health care system in the year before their death. This …
suicide come into contact with the health care system in the year before their death. This …
A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes
The significant rise in suicides is a major cause of concern in public health domain.
Depression plays a major role in increasing suicide ideation among the individuals …
Depression plays a major role in increasing suicide ideation among the individuals …
A lexicon-based approach to detecting suicide-related messages on Twitter
Expression of emotion is an indicator that can contribute to the detection of mental health-
related disorders. Suicide causes death to many people around the globe, and despite the …
related disorders. Suicide causes death to many people around the globe, and despite the …
Data subjects' conceptualizations of and attitudes toward automatic emotion recognition-enabled wellbeing interventions on social media
K Roemmich, N Andalibi - Proceedings of the ACM on Human-Computer …, 2021 - dl.acm.org
Automatic emotion recognition (ER)-enabled wellbeing interventions use ER algorithms to
infer the emotions of a data subject (ie, a person about whom data is collected or processed …
infer the emotions of a data subject (ie, a person about whom data is collected or processed …
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
Analysis of Media and Audiences in Social Media Facing Information about Suicide.
Á Durán-Mañes, FJ Paniagua-Rojano… - Comunicar: Media …, 2023 - ERIC
Suicide had traditionally been silenced in the media until the beginning of the 21st century,
when the World Health Organization (WHO) changed its recommendation not to report on it …
when the World Health Organization (WHO) changed its recommendation not to report on it …
Sentiment analysis of public social media as a tool for health-related topics
For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …
human linguistic capabilities. Recently, advances in the field of natural language processing …
Building information modelling knowledge harvesting for energy efficiency in the Construction industry
The recent adoption of building information modelling (BIM), and the quest to decarbonise
our built environment, has impacted several segments of the supply chain, including design …
our built environment, has impacted several segments of the supply chain, including design …
Gender stereotype in toy advertisements on social networking sites
Marketing and advertising messages are often designed to persuade and influence the
consumers into purchasing the products or services usually designed based on market …
consumers into purchasing the products or services usually designed based on market …