Home // ADVCOMP 2020, The Fourteenth International Conference on Advanced Engineering Computing and Applications in Sciences // View article

Detecting Suicide Risk Through Twitter

Authors:
Javier Fabra
Ana Belén Martínez-Martínez
Yolanda López-Del-Hoyo
María Cruz Pérez-Yus
Bárbara Oliván-Blázquez

Keywords: mental health; suicide; prevention; Twitter; clustering; automatic classification

Abstract:
Mental illness is one of the main causes of illness worldwide. Currently, it is estimated that about 300 million people suffer from depression according to the World Health Organization (WHO). In this context, this work deals with the construction of a platform that allows to detect the risk of suicide using data from Twitter. This platform combines external emotional processing systems, clustering techniques and a system based on machine learning that facilitate the automatic classification of the information obtained. The entire process is articulated around a multidisciplinary team of professionals in Health Sciences and Information Technology, generating as a result a useful prototype for suicide prevention in the population.

Pages: 6 to 11

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-812-9

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020