Sentiment analysis in social media data for depression detection using artificial intelligence: a review
NV Babu, EGM Kanaga - SN computer science, 2022 - Springer
Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …
multiple situations in their quotidian life. Social media data would be utilized for the entire …
A review of the trends and challenges in adopting natural language processing methods for education feedback analysis
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …
business and research domains. Machine learning, deep learning, and natural language …
Mentalbert: Publicly available pretrained language models for mental healthcare
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
AI in mental health
S D'Alfonso - Current opinion in psychology, 2020 - Elsevier
With the advent of digital approaches to mental health, modern artificial intelligence (AI), and
machine learning in particular, is being used in the development of prediction, detection and …
machine learning in particular, is being used in the development of prediction, detection and …
[Retracted] A Novel Text Mining Approach for Mental Health Prediction Using Bi‐LSTM and BERT Model
With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related …
intelligent and smart systems that can efficiently address the detection of health‐related …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
What's in the box? a preliminary analysis of undesirable content in the common crawl corpus
AS Luccioni, JD Viviano - arXiv preprint arXiv:2105.02732, 2021 - arxiv.org
Whereas much of the success of the current generation of neural language models has
been driven by increasingly large training corpora, relatively little research has been …
been driven by increasingly large training corpora, relatively little research has been …
Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models
THH Aldhyani, SN Alsubari, AS Alshebami… - International journal of …, 2022 - mdpi.com
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …
social media. Thus, several studies found that people who are contemplating suicide can be …
[HTML][HTML] A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …
identification of depression tendency from social media posts, which provide assistance for …