[HTML][HTML] A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges
For years, the scientific community has researched monitoring approaches for the detection
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
Overview of erisk 2023: Early risk prediction on the internet
This paper provides an overview of eRisk 2023, the seventh edition of the CLEF
conference's lab dedicated to early risk detection. Since its inception, our lab has aimed to …
conference's lab dedicated to early risk detection. Since its inception, our lab has aimed to …
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
Computational approaches to predicting mental health conditions in social media have been
substantially explored in the past years. Multiple surveys have been published on this topic …
substantially explored in the past years. Multiple surveys have been published on this topic …
[PDF][PDF] NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks.
This paper describes our participation in Task 2 (Early Detection of Signs of Pathological
Gambling) from the CLEF 2023 eRisk Workshop, addressed to detecting early signs of …
Gambling) from the CLEF 2023 eRisk Workshop, addressed to detecting early signs of …
[PDF][PDF] NUS-IDS@ eRisk2024: ranking sentences for depression symptoms using early maladaptive schemas and ensembles
BH Ang, SD Gollapalli, SK Ng - Working Notes of CLEF, 2024 - ceur-ws.org
In this paper, we describe the techniques developed by our team, NUS-IDS, for eRisk2024
Task 1. This task focuses on ranking and identifying sentences from social media that …
Task 1. This task focuses on ranking and identifying sentences from social media that …
A Frame-based Attention Interpretation Method for Relevant Acoustic Feature Extraction in Long Speech Depression Detection
Q Deng, S Luz, SF Garcia - arxiv preprint arxiv:2406.03138, 2024 - arxiv.org
Speech-based depression detection tools could help early screening of depression. Here,
we address two issues that may hinder the clinical practicality of such tools: segment-level …
we address two issues that may hinder the clinical practicality of such tools: segment-level …
Risk prediction of pathological gambling on social media
This paper addresses the problem of risk prediction on social media data, specifically
focusing on the classification of Reddit users as having a pathological gambling disorder. To …
focusing on the classification of Reddit users as having a pathological gambling disorder. To …
Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection
Depression is a common mental disorder. Automatic depression detection tools using
speech, enabled by machine learning, help early screening of depression. This paper …
speech, enabled by machine learning, help early screening of depression. This paper …
[PDF][PDF] Computer Science Review
A Montejo-Ráez, MD Molina-González… - researchgate.net
For years, the scientific community has researched monitoring approaches for the detection
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …
[PDF][PDF] Computational Approaches to Mental Illnesses Detection
PhD Meeting poster Page 1 Computational Approaches to Mental Illnesses Detection
Doctoral Program in Computer Science Ana-Maria Bucur, PhD Student at the …
Doctoral Program in Computer Science Ana-Maria Bucur, PhD Student at the …