[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 …
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 …
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 …
implications. Timely recognition of emotional responses plays a pivotal function at present …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
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 …
[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …
negatively influence people's lives and society's health. With the increasing popularity of …
[HTML][HTML] Sentiment analysis in health and well-being: systematic review
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
aim is to automatically classify the sentiment expressed in a free text. It has found practical …
[HTML][HTML] An in-depth analysis of machine learning approaches to predict depression
Among all the forms of psychological and mental disorders, depression is the most common
form. Nowadays a large number of youths and adults around the world suffer from …
form. Nowadays a large number of youths and adults around the world suffer from …
Automatic detection of depression symptoms in twitter using multimodal analysis
Depression is the most prevalent mental disorder that can lead to suicide. Due to the
tendency of people to share their thoughts on social platforms, social data contain valuable …
tendency of people to share their thoughts on social platforms, social data contain valuable …