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 …

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 …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Millions of people are suffering from mental illness due to unavailability of early treatment
and services for depression detection. It is the major reason for anxiety disorder, bipolar …

Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Depressive symptoms identification on social media aims to identify posts from social media
expressing symptoms of depression. This can be beneficial for develo** mental health …

Background The study of depression and anxiety using publicly available social media data
is a research activity that has grown considerably over the past decade. The discussion …

Despite improvement in detection rates, the prevalence of mental health disorders such as
anxiety and depression are on the rise especially since the outbreak of the COVID-19 …

Aiming at the inadequacy of the group decision‐making method with the current attribute
value as interval language information, an interval binary semantic decision‐making method …

Social networks have grown into a widespread form of communication that allows a large
number of users to participate in conversations and consume information at any time. The …