Not Just Depressed: Bipolar Disorder Prediction on Reddit
This work addresses mental health screening for individuals with bipolar disorder, but it is incremental as it applies existing methods to a new dataset.
The study tackled bipolar disorder prediction using user-generated text from Reddit with self-reported labels, achieving accuracy and F1-scores above 86% and outperforming baseline classifiers.
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.