Detecting mental distresses using social behavior analysis in the context of covid-19: A survey

S Dhelim, L Chen, SK Das, H Ning, C Nugent… - ACM Computing …, 2023 - dl.acm.org
Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …

Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

A Atmakuru, A Shahini, S Chakraborty, S Seoni… - Information …, 2024 - Elsevier
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 …

KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content

D Zhang, L Zhou, J Tao, T Zhu… - Information Systems …, 2024 - pubsonline.informs.org
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 …

Dasentimental: Detecting depression, anxiety, and stress in texts via emotional recall, cognitive networks, and machine learning

A Fatima, Y Li, TT Hills, M Stella - Big Data and Cognitive Computing, 2021 - mdpi.com
Most current affect scales and sentiment analysis on written text focus on quantifying
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …

Depression and suicide analysis using machine learning and NLP

P Jain, KR Srinivas, A Vichare - Journal of Physics: Conference …, 2022 - iopscience.iop.org
Depression is a common type of mental illness that can impair performance and lead to
suicide ideation or attempts. Traditional techniques used by mental health experts can assist …

DAC stacking: A deep learning ensemble to classify anxiety, depression, and their comorbidity from Reddit texts

VB de Souza, JC Nobre… - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Depression is the most incapacitating disease worldwide, and it has an alarming
comorbidity rate with anxiety. The use of social networks to expose personal difficulties has …

[HTML][HTML] Detection of suicidal ideation in clinical interviews for depression using natural language processing and machine learning: cross-sectional study

TMH Li, J Chen, FOC Law, CT Li… - JMIR medical …, 2023 - medinform.jmir.org
Background: Assessing patients' suicide risk is challenging, especially among those who
deny suicidal ideation. Primary care providers have poor agreement in screening suicide …

Criminal Behavior Identification Using Social Media Forensics

N Ashraf, D Mahmood, MA Obaidat, G Ahmed… - Electronics, 2022 - mdpi.com
Human needs consist of five levels, which are: physiological needs, safety needs, love
needs, esteem needs and self-actualization. All these needs lead to human behavior. If the …

Evaluation of college students' classroom learning effect based on the neural network algorithm

D Li, X Dai, J Wang, Q Xu, Y Wang, T Fu… - Mobile Information …, 2022 - Wiley Online Library
With the advent of the digital society, the amount of information we face will increase
exponentially, which will challenge our level of educational knowledge, so we begin to pay …

Looking for razors and needles in a haystack: multifaceted analysis of suicidal declarations on social media—a pragmalinguistic approach

M Ptaszynski, M Zasko-Zielinska, M Marcinczuk… - International journal of …, 2021 - mdpi.com
In this paper, we study language used by suicidal users on Reddit social media platform. To
do that, we firstly collect a large-scale dataset of Reddit posts and annotate it with highly …