Quantifying Mental Health Signals in Twitter

@inproceedings{Coppersmith2014QuantifyingMH,
  title={Quantifying Mental Health Signals in Twitter},
  author={Glen Coppersmith and Mark Dredze and Craig Harman},
  year={2014}
}
The ubiquity of social media provides a rich opportunity to enhance the data available to mental health clinicians and researchers, enabling a better-informed and better-equipped mental health field. We present analysis of mental health phenomena in publicly available Twitter data, demonstrating how rigorous application of simple natural language processing methods can yield insight into specific disorders as well as mental health writ large, along with evidence that as-of-yet undiscovered… CONTINUE READING

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