[HTML][HTML] Emotion fusion for mental illness detection from social media: A survey

T Zhang, K Yang, S Ji, S Ananiadou - Information Fusion, 2023 - Elsevier
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 …

Multi task opinion enhanced hybrid BERT model for mental health analysis

MM Hossain, MS Hossain, MF Mridha, M Safran… - Scientific Reports, 2025 - nature.com
Understanding the nuanced emotions and points of view included in user-generated content
remains challenging, even though text data analysis for mental health is a crucial instrument …

MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare

H Alhuzali, A Alasmari, H Alsaleh - IEEE Access, 2024 - ieeexplore.ieee.org
Mental health disorders significantly impact people globally, regardless of background,
education, or socioeconomic status. However, access to adequate care remains a …

From Stigma to Support: A Parallel Monolingual Corpus and NLP Approach for Neutralizing Mental Illness Bias

M Choey - Proceedings of the 14th International Conference on …, 2023 - aclanthology.org
Negative attitudes and perceptions towards mental illness continue to be pervasive in our
society. One of the factors contributing to and reinforcing this stigma is the usage of …

Textual Mental Illness Detection from Social Media Using Deep Learning

T Zhang - 2024 - search.proquest.com
Mental illnesses are one of the most prevalent public health issues, and social media is a
primary source through which young people express their mental states and feelings …

How Hospitalized COVID-19 Patients Vulnerable to Trauma Narrate Their Experience: A Computational Linguistic Analysis of COVID-19 Patients' Experiences during …

MJ Bie - 2024 - essay.utwente.nl
The COVID-19 pandemic, which started in late 2019, had caused many infections and
deaths worldwide by November 2023. Not only the physical effects, but its psychological …

[PDF][PDF] Collaborative Emotion Annotation: Assessing the Intersection of Human and AI Performance with GPT Models.

HA Uymaz, SK Metin - KDIR, 2023 - scitepress.org
In this study, we explore emotion detection in text, a complex yet vital aspect of human
communication. Our focus is on the formation of an annotated dataset, a task that often …