Artificial intelligence for mental health and mental illnesses: an overview

S Graham, C Depp, EE Lee, C Nebeker, X Tu… - Current psychiatry …, 2019 - Springer
Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …

Detecting depression signs on social media: a systematic literature review

R Salas-Zárate, G Alor-Hernández, MP Salas-Zárate… - Healthcare, 2022 - mdpi.com
Among mental health diseases, depression is one of the most severe, as it often leads to
suicide; due to this, it is important to identify and summarize existing evidence concerning …

Deep learning for depression detection from textual data

A Amanat, M Rizwan, AR Javed, M Abdelhaq… - Electronics, 2022 - mdpi.com
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey

KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …

Depression detection from social network data using machine learning techniques

MR Islam, MA Kabir, A Ahmed, ARM Kamal… - … information science and …, 2018 - Springer
Purpose Social networks have been developed as a great point for its users to communicate
with their interested friends and share their opinions, photos, and videos reflecting their …

Stress detection using natural language processing and machine learning over social interactions

T Nijhawan, G Attigeri, T Ananthakrishna - Journal of Big Data, 2022 - Springer
Cyberspace is a vast soapbox for people to post anything that they witness in their day-to-
day lives. Social media content is mostly used for review, opinion, influence, or sentiment …

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo - ACM Transactions on Asian and …, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe …

Depression detection using emotional artificial intelligence and machine learning: A closer review

ML Joshi, N Kanoongo - Materials Today: Proceedings, 2022 - Elsevier
Depression is a prevalent mental disorder that can have a significant impact on people's
mental health as well as their day-to-day lives. Depression and mental illness are a key …

[HTML][HTML] An attention-based CNN-BiLSTM model for depression detection on social media text

JP Thekkekara, S Yongchareon, V Liesaputra - Expert systems with …, 2024 - Elsevier
Depression has long been described as a common mental health disorder and a disease
with a set of diagnostic criteria that influences the affected individuals' feelings and behavior …

Big data analytics on social networks for real-time depression detection

J Angskun, S Tipprasert, T Angskun - Journal of Big Data, 2022 - Springer
During the coronavirus pandemic, the number of depression cases has dramatically
increased. Several depression sufferers disclose their actual feeling via social media. Thus …