[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
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] Real-time social media sentiment analysis for rapid impact assessment of floods
L Bryan-Smith, J Godsall, F George, K Egode… - Computers & …, 2023 - Elsevier
Traditional approaches to flood modelling mostly rely on hydrodynamic physical simulations.
While these simulations can be accurate, they are computationally expensive and …
While these simulations can be accurate, they are computationally expensive and …
[图书][B] The Routledge handbook of forensic linguistics
M Coulthard, A Johnson - 2010 - api.taylorfrancis.com
The Handbook is a unique work of reference to the leading ideas, debates, topics,
approaches and methodologies in forensic linguistics and language and the law. It …
approaches and methodologies in forensic linguistics and language and the law. It …
Dasentimental: Detecting depression, anxiety, and stress in texts via emotional recall, cognitive networks, and machine learning
Most current affect scales and sentiment analysis on written text focus on quantifying
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …
Revealing semantic and emotional structure of suicide notes with cognitive network science
Understanding how people who commit suicide perceive their cognitive states and emotions
represents an important open scientific challenge. We build upon cognitive network science …
represents an important open scientific challenge. We build upon cognitive network science …
[HTML][HTML] Automatic identification of suicide notes with a transformer-based deep learning model
Suicide is one of the leading causes of death worldwide. At the same time, the widespread
use of social media has led to an increase in people posting their suicide notes online …
use of social media has led to an increase in people posting their suicide notes online …
Hierarchical multiscale recurrent neural networks for detecting suicide notes
Recent statistics in suicide prevention show that people are increasingly posting their last
words online and with the unprecedented availability of textual data from social media …
words online and with the unprecedented availability of textual data from social media …
Cognitive network neighborhoods quantify feelings expressed in suicide notes and reddit mental health communities
Writing messages is key to expressing feelings. This study adopts cognitive network science
to reconstruct how individuals report their feelings in clinical narratives like suicide notes or …
to reconstruct how individuals report their feelings in clinical narratives like suicide notes or …
VAD-assisted multitask transformer framework for emotion recognition and intensity prediction on suicide notes
Detecting suicidal tendencies and preventing suicides is an important social goal. The rise
and continuance of emotion, the emotion category, and the intensity of the emotion are …
and continuance of emotion, the emotion category, and the intensity of the emotion are …