The objective of this briefing is to present an overview about the use of sentiment analysis to detect mental depression.
Mental illness is among the most prevalent yet overlooked issues. According to the World Health Organization, around 20% of
the child and adolescent population and 23% of the total human population have one or more mental illnesses, making
neuropsychiatric disorders the major cause of disability all over the world [1]. Among all, Depression is among the most
prevalent mental health disorders. More than 300 million individuals or 4.4% of the world's population is estimated to suffer
from depression [2]. However, its prevalence varies by the WHO region and gender, from a minimum of 2.6% among the
Western Pacific males to a maximum of 5.9% among the African females.
“Machine learning is a core, transformative way by which we’re rethinking everything we’re doing.” - Google CEO Sundar
Pichai
