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A survey of pre-trained language models for processing scientific text
X Ho, AKD Nguyen, AT Dao, J Jiang, Y Chida… - ar** pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task …
Explainable depression symptom detection in social media
Users of social platforms often perceive these sites as supportive spaces to post about their
mental health issues. Those conversations contain important traces about individuals' health …
mental health issues. Those conversations contain important traces about individuals' health …
Enhancing abusive language detection: A domain-adapted approach leveraging BERT pre-training tasks
The widespread adoption of deep learning approaches in natural language processing is
largely attributed to their exceptional performance across diverse tasks. Notably …
largely attributed to their exceptional performance across diverse tasks. Notably …
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
Social media has become ubiquitous for connecting with others, staying updated with news,
expressing opinions, and finding entertainment. However, understanding the intention …
expressing opinions, and finding entertainment. However, understanding the intention …
[PDF][PDF] Stigma against mental illness and mental health: The role of Social Media
A Rizzo, L Calandi, M Faranda… - Adv Med …, 2025 - ampphealthjournal-network.org
This paper investigates the pervasive stigma against mental illness and mental health,
emphasizing the role of social media in sha** public attitudes and perceptions. Stigma …
emphasizing the role of social media in sha** public attitudes and perceptions. Stigma …
NarrationDep: Narratives on social media for automatic depression detection
Social media posts provide valuable insight into the narrative of users and their intentions,
including providing an opportunity to automatically model whether a social media user is …
including providing an opportunity to automatically model whether a social media user is …
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational
thoughts stemming from mental illnesses, but it necessitates precise identification of …
thoughts stemming from mental illnesses, but it necessitates precise identification of …
Chinese MentalBERT: Domain-adaptive pre-training on social media for Chinese mental health text analysis
In the current environment, psychological issues are prevalent and widespread, with social
media serving as a key outlet for individuals to share their feelings. This results in the …
media serving as a key outlet for individuals to share their feelings. This results in the …
Mentalhelp: A multi-task dataset for mental health in social media
Early detection of mental health disorders is an essential step in treating and preventing
mental health conditions. Computational approaches have been applied to users' social …
mental health conditions. Computational approaches have been applied to users' social …
Guardian-BERT: Early detection of self-injury and suicidal signs with language technologies in electronic health reports
Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior,
represent a growing global concern. Early detection of these conditions is crucial for timely …
represent a growing global concern. Early detection of these conditions is crucial for timely …