In severely imbalanced datasets, using traditional binary or multi-class classification typically
leads to bias towards the class (es) with the much larger number of instances. Under such …

Recent developments in the fields of natural language processing (NLP) and machine
learning (ML) have shown significant improvements in automatic text processing. At the …

Depression is a prevalent and severe mental disorder that often goes undetected and
untreated, particularly in its early stages. However, social media has emerged as a valuable …

Internet-Delivered Psychological Treatment (IDPT) has become necessary in the medical
field. Deep neural networks (DNNs) require large, diverse patient populations to train …

With the increasing use of online mediums, Internet-delivered psychological treatments
(IDPs) are becoming an essential tool for improving mental disorders. Online-based health …

This study examines the communications of English-and Spanish-speaking Twitter users
through traditional and deep learning algorithms to automatically recognize whether they …

Depression is a common and very important health issue with serious effects in the daily life
of people. Recently, several researchers have explored the analysis of user-generated data …

The present work introduces a novel dataset—hereby called the SetembroBR corpus—for
the study and development of depression and anxiety disorder predictive models in the …

Depression is a severe mental health problem. Due to its relevance, the development of
computational tools for its detection has attracted increasing attention in recent years. In this …

Depression is a severe mental health issue. The user‐generated content on social media
(SM) is growing nowadays. Some computational approaches have been proposed for …