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 …
Preserving integrity in online social networks
Preserving integrity in online social networks Page 1 92 COMMUNICATIONS OF THE ACM |
FEBRUARY 2022 | VOL. 65 | NO. 2 review articles THE GOAL OF online social networks is to …
FEBRUARY 2022 | VOL. 65 | NO. 2 review articles THE GOAL OF online social networks is to …
[HTML][HTML] 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 …
[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 …
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 …
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 …
Returning the N to NLP: Towards contextually personalized classification models
L Flek - Proceedings of the 58th annual meeting of the …, 2020 - aclanthology.org
Most NLP models today treat language as universal, even though socio-and psycholingustic
research shows that the communicated message is influenced by the characteristics of the …
research shows that the communicated message is influenced by the characteristics of the …
Identifying moments of change from longitudinal user text
Identifying changes in individuals' behaviour and mood, as observed via content shared on
online platforms, is increasingly gaining importance. Most research to-date on this topic …
online platforms, is increasingly gaining importance. Most research to-date on this topic …
Machine learning for suicidal ideation identification: A systematic literature review
WF Heckler, JV de Carvalho, JLV Barbosa - Computers in Human Behavior, 2022 - Elsevier
Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
Phase: Learning emotional phase-aware representations for suicide ideation detection on social media
Recent psychological studies indicate that individuals exhibiting suicidal ideation
increasingly turn to social media rather than mental health practitioners. Contextualizing the …
increasingly turn to social media rather than mental health practitioners. Contextualizing the …