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Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder prediction from user-generated text on Reddit, which relies on users' self-reported labels. Our benchmark classifiers for bipolar disorder prediction outperform the baselines and reach accuracy and F1-scores of above 86%. Feature analysis shows interesting differences in language use between users with bipolar disorders and the control group, including differences in the use of emotion-expressive words.
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Sekulić et al. (Mon,) studied this question.
www.synapsesocial.com/papers/6a12b3411d9aa3bb4e347846 — DOI: https://doi.org/10.18653/v1/w18-6211
Ivan Sekulić
Matej Gjurković
Jan Šnajder
University of Zagreb
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