---
abstract: '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.' 
author:
- |
    Ivan Sekuli[ć]{} Matej Gjurkovi[ć]{} Jan [Š]{}najder\
    Text Analysis and Knowledge Engineering Lab\
    Faculty of Electrical Engineering and Computing, University of Zagreb\
    Unska 3, 10000 Zagreb, Croatia\
    {ivan.sekulic,matej.gjurkovic,jan.snajder}@fer.hr
bibliography:
- 'emnlp2018.bib'
title: 'Not Just Depressed: Bipolar Disorder Prediction on Reddit'
---


