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Artificial intelligence for mental health and mental illnesses: an overview
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 …
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …
Detecting depression signs on social media: a systematic literature review
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 …
suicide; due to this, it is important to identify and summarize existing evidence concerning …
Deep learning for depression detection from textual data
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …
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 …
information, delivering comments, finding new information, and engaging in discussions that …
Depression detection from social network data using machine learning techniques
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 …
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
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 …
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
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 …
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 …
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
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 …
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
During the coronavirus pandemic, the number of depression cases has dramatically
increased. Several depression sufferers disclose their actual feeling via social media. Thus …
increased. Several depression sufferers disclose their actual feeling via social media. Thus …