[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 …
Deep learning techniques for suicide and depression detection from online social media: A scoping review
A Malhotra, R Jindal - Applied Soft Computing, 2022 - Elsevier
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …
neglected public health issues. Depression is the most common mental health issue and the …
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 …
Detection of suicide ideation in social media forums using deep learning
Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …
individuals use social forum platforms to discuss their problems or get access to information …
Automatic classification of sexism in social networks: An empirical study on twitter data
F Rodríguez-Sánchez, J Carrillo-de-Albornoz… - IEEE …, 2020 - ieeexplore.ieee.org
During the last decade, hateful and sexist content towards women is being increasingly
spread on social networks. The exposure to sexist speech has serious consequences to …
spread on social networks. The exposure to sexist speech has serious consequences to …
[PDF][PDF] SafetyKit: First aid for measuring safety in open-domain conversational systems
The social impact of natural language processing and its applications has received
increasing attention. In this position paper, we focus on the problem of safety for end-to-end …
increasing attention. In this position paper, we focus on the problem of safety for end-to-end …
A time-aware transformer based model for suicide ideation detection on social media
Social media's ubiquity fosters a space for users to exhibit suicidal thoughts outside of
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
[HTML][HTML] Machine learning-based proactive social-sensor service for mental health monitoring using twitter data
The social media platforms are considered an ecosystem of social sensors where each
social media platform user is treated as a social sensor cloud. To overcome the limitations of …
social media platform user is treated as a social sensor cloud. To overcome the limitations of …
Building and using personal knowledge graph to improve suicidal ideation detection on social media
L Cao, H Zhang, L Feng - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
A large number of individuals are suffering from suicidal ideation in the world. There are a
number of causes behind why an individual might suffer from suicidal ideation. As the most …
number of causes behind why an individual might suffer from suicidal ideation. As the most …
Combining sentiment lexicons and content-based features for depression detection
Numerous studies on mental depression have found that tweets posted by users with major
depressive disorder could be utilized for depression detection. The potential of sentiment …
depressive disorder could be utilized for depression detection. The potential of sentiment …