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Multiple-Choice Question Answering Models for Automatic Depression Severity Estimation
(MDPI, 2021)
[Abstract] Depression is one of the most prevalent mental health diseases. Although there are effective treatments, the main problem relies on providing early and effective risk detection. Medical experts use self-reporting ...
Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling
(SCITEPRESS, 2021)
[Abstract] Automatic user profiling from social networks has become a popular task due to its commercial applications
(targeted advertising, market studies...). Automatic profiling models infer demographic characteristics
of ...
Automatic depression score estimation with word embedding models
(Elsevier, 2022)
[Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ...
Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries
(Association for Computational Linguistics, 2024-03)
[Abstract]: Depression is a global concern suffered by millions of people, significantly impacting their thoughts and behavior. Over the years, heightened awareness, spurred by health campaigns and other initiatives, has ...