  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.

Computation and Language;Social and Information Networks