A Stacking-Based Ensemble Approach with Embeddings from Language Models for Depression Detection from Social Media Text
Akwa Gaius,
Ronald Waweru Mwangi,
Antony Ngunyi
Abstract:Depression is a major public health problem around the world and contributes significantly to poor health and poverty. The rate of the number of people being affected is very high compared to the rate of medical treatment of the disease. Thus, the disease often remains untreated and suffering continues. Machine learning has been widely used in many studies in detecting depressive individuals from their contents on online social networks. From the related reviews, it is apparent that the application of stacking… Show more
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