Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …

Mental illnesses are one of the most prevalent public health problems worldwide, which
negatively influence people's lives and society's health. With the increasing popularity of …

In this paper, I examine the convergence of big data and urban governance beyond the
discursive and material contexts of the smart city. I argue that in addition to understanding …

The terror events in Paris in November, 2015, and elsewhere remind us of the substantial
consequences that violent events can have for a population's mental health. 1 Although …

Depression is among the most commonly diagnosed mental disorders around the world.
With the increasing popularity of online social network platforms and the advances in data …

Customer experience management (CEM) in the social media age finds itself needing to
adapt to a rapidly changing digital environment and hence there is a need for innovative …

This survey describes recent works in the field of Emotion Detection from text, being a part of
the broader area of Affective Computing. This survey has been inspired on the well-known …

A substantial amount of evidence indicates that news coverage of suicide deaths by
celebrities is followed by an increase in suicide rates, suggesting a copycat behavior …

In recent years, deep learning-based automated personality traits detection has received a
lot of attention, especially now, due to the massive digital footprints of an individual …

Rises in suicide rates following media reports of the deaths by suicide of public figures are a
well-documented phenomenon. However, it remains unclear why, or by what exact …