ListarInformation Retrieval Lab (IRlab) por tema "Social media"
Mostrando ítems 1-5 de 5
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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 ... -
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 ... -
Hybrid Intelligence Strategies for Identifying, Classifying and Analyzing Political Bots
(MDPI, 2021)[Abstract] Political bots, through astroturfing and other strategies, have become important players in recent elections in several countries. This study aims to provide researchers and the citizenry with the necessary ... -
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 ...