Background Suicide remains a leading cause of death globally, with nearly 800,000 deaths
annually, particularly among young adults in regions like Europe, Australia, and the Middle …

Digital technologies such as chatbots can be used in the field of mental health. In particular,
chatbots can be used to support citizens living in sparsely populated areas who face …

Suicide, a leading cause of death, is a complex and a hard-to-predict human tragedy. In this
article, we introduce a comprehensive outlook on the emerging movement to integrate …

Social media platforms like Twitter, Facebook, and Instagram have facilitated the spread of
misinformation, necessitating automated detection systems. This systematic review …

The promising research on Artificial Intelligence usages in suicide prevention has principal
gaps, including black box methodologies, inadequate outcome measures, and scarce …

Suicidal thought and behavior (STB) is highly stigmatized and taboo. Prone to censorship,
yet pervasive online, STB risk detection may be improved through development of uniquely …

Realizada análise das postagens relacionadas ao suicídio publicadas no Twitter de locais
com os menores e maiores coeficientes de óbitos por suicídio do Estado de São Paulo …

This study aimed to predict emotional states using supervised learning models and analyze
the importance of features in social media user data. We implemented the Random Forest …

The technological basis of automated essay evaluation is used in other domains for
assessing language-based responses. In general, these technologies assess knowledge …

This thesis explored the application of pre-trained transformer models in detecting suicidal
ideation in social media posts. We leveraged social media data from platforms like Reddit …