Forecasting the onset and course of mental illness with Twitter data

@article{Reece2017ForecastingTO,
  title={Forecasting the onset and course of mental illness with Twitter data},
  author={Andrew G. Reece and Andrew J. Reagan and Katharina Lix and Peter Sheridan Dodds and Christopher M. Danforth and Ellen J. Langer},
  journal={Scientific Reports},
  year={2017},
  volume={7}
}
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic style, and context from participant tweets (N = 279,951) and built models using these features with supervised learning algorithms. Resulting models successfully discriminated between depressed and… 
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