Towards Suicide Prevention: Early Detection of Depression on Social Media

@inproceedings{Leiva2017TowardsSP,
  title={Towards Suicide Prevention: Early Detection of Depression on Social Media},
  author={V{\'i}ctor Leiva and Ana Freire},
  booktitle={INSCI},
  year={2017}
}
The statistics presented by the World Health Organization inform that 90% of the suicides can be attributed to mental illnesses in high-income countries. Besides, previous studies concluded that people with mental illnesses tend to reveal their mental condition on social media, as a way of relief. Thus, the main objective of this work is the analysis of the messages that a user posts online, sequentially through a time period, and detect as soon as possible if this user is at risk of depression… 
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