[HTML][HTML] PHQ-aware depressive symptoms identification with similarity contrastive learning on social media
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 …
expressing symptoms of depression. This can be beneficial for develo** mental health …
Bdi-sen: a sentence dataset for clinical symptoms of depression
People tend to consider social platforms as convenient media for expressing their concerns
and emotional struggles. With their widespread use, researchers could access and analyze …
and emotional struggles. With their widespread use, researchers could access and analyze …
Trusted commonsense knowledge enhanced depression detection based on three-way decision
Depression detection on social media aims to identify depressive tendencies within textual
posts, providing timely intervention by the early detection of mental health issues. In …
posts, providing timely intervention by the early detection of mental health issues. In …
Depresym: A depression symptom annotated corpus and the role of llms as assessors of psychological markers
Computational methods for depression detection aim to mine traces of depression from
online publications posted by Internet users. However, solutions trained on existing …
online publications posted by Internet users. However, solutions trained on existing …
Enhancing multimodal depression detection with intra-and inter-sample contrastive learning
Multimodal depression detection (MDD) has garnered significant interest in recent years.
Current methods typically integrate multimodal information within samples to distinguish …
Current methods typically integrate multimodal information within samples to distinguish …
Utilizing ChatGPT generated data to retrieve depression symptoms from social media
In this work, we present the contribution of the BLUE team in the eRisk Lab task on
searching for symptoms of depression. The task consists of retrieving and ranking Reddit …
searching for symptoms of depression. The task consists of retrieving and ranking Reddit …
A comprehensive evaluation of large language models on mental illnesses
A Hanafi, M Saad, N Zahran, RJ Hanafy… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models have shown promise in various domains, including healthcare. In
this study, we conduct a comprehensive evaluation of LLMs in the context of mental health …
this study, we conduct a comprehensive evaluation of LLMs in the context of mental health …