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Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts

LIWC Research Series:


Researchers develop a model to predict psychiatric hospitalizations from social media language. Study results indicate that such a model can predict future acute psychiatric crises from language data. Therefore, the model framework may be a useful public health tool.


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Citation:

Jiang, Z. P., Zomick, J., Levitan, S. I., Serper, M., & Hirschberg, J. (2021, June). Automatic Detection and Prediction of Psychiatric Hospitalizations From Social Media Posts. In Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access (pp. 116-121).