CapsF: Capsule Fusion for Extracting psychiatric stressors for suicide
  from twitter
Mohammad Ali Dadgostarnia Ramin Mousa Saba Hesaraki
Along with factors such as cancer, blood pressure, street accidents and
stroke, suicide has been one of Iran main causes of death. One of the main
reasons for suicide is psychological stressors. Identifying psychological
stressors in an at risk population can help in the early prevention of suicidal
and suicidal behaviours. In recent years, the widespread popularity and flow of
real time information sharing of social media have allowed for potential early
intervention in large scale and even small scale populations. However, some
automated approaches to extract psychiatric stressors from Twitter have been
presented, but most of this research has been for non Persian languages. This
study aims to investigate the techniques of detecting psychological stress
related to suicide from Persian tweets using learning based methods. The
proposed capsule based approach achieved a binary classification accuracy of
0.83.