Detecting community depression dynamics due to COVID-19 pandemic in Australia
The recent Coronavirus Infectious Disease 2019 (COVID-19) pandemic has caused an
unprecedented impact across the globe. We have also witnessed millions of people with …
unprecedented impact across the globe. We have also witnessed millions of people with …
Antisocial Behavior Identification from Twitter Feeds Using Traditional Machine Learning Algorithms and Deep Learning.
Antisocial behavior (ASB) is one of the ten personality disorders included in 'The Diagnostic
and Statistical Manual of Mental Disorders (DSM-5) and falls in the same cluster as …
and Statistical Manual of Mental Disorders (DSM-5) and falls in the same cluster as …
Early risk detection of pathological gambling, self-harm and depression using bert
Early risk detection of mental illnesses has a massive positive impact upon the well-being of
people. The eRisk workshop has been at the forefront of enabling interdisciplinary research …
people. The eRisk workshop has been at the forefront of enabling interdisciplinary research …
Artificial Intelligence application for the analysis of personality traits and disorders in social media: A Survey
Personality analysis has a positive influence on humanity as it aids in identifying personality
traits and disorders. In addition, it facilitates the monitoring of cases and enriches doctors' …
traits and disorders. In addition, it facilitates the monitoring of cases and enriches doctors' …
Investigation of social behaviour patterns using location-based data–a melbourne case study
Location-based social networks such as Swarm provide a rich source of information on
human behaviour and urban functions. Our analysis of data created by users who voluntarily …
human behaviour and urban functions. Our analysis of data created by users who voluntarily …
Mental illness detection through harvesting social media: a comprehensive literature review
Mental illness is a common disease that at its extremes leads to personal and societal
suffering. A complicated multi-factorial disease, mental illness is influenced by a number of …
suffering. A complicated multi-factorial disease, mental illness is influenced by a number of …
Towards intelligent clinically-informed language analyses of people with bipolar disorder and schizophrenia
NLP offers a myriad of opportunities to support mental health research. However, prior work
has almost exclusively focused on social media data, for which diagnoses are difficult or …
has almost exclusively focused on social media data, for which diagnoses are difficult or …
Deep learning for multi-class antisocial behavior identification from Twitter
Social Media has become an integral part of our daily life. Not only it enables collaboration
and flow of information but has also become an imperative tool for businesses and …
and flow of information but has also become an imperative tool for businesses and …
Depression detection from social media using Twitter's tweet
Social media is using rapidly for expressing user's opinions and feelings. At
present,'Depression'is propagating in a cursory way which is the reason for the increasing …
present,'Depression'is propagating in a cursory way which is the reason for the increasing …
Approach based on ontology and machine learning for identifying causes affecting personality disorder disease on twitter
This paper presents an approach for the detection of the reason that causes a personality
disorder (PD) among Twitter users. A reason is the subject of a tweet that is recorded with an …
disorder (PD) among Twitter users. A reason is the subject of a tweet that is recorded with an …