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.- Anthology ID:
- W18-6211
- Volume:
- Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- Month:
- October
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Alexandra Balahur, Saif M. Mohammad, Veronique Hoste, Roman Klinger
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 72–78
- Language:
- URL:
- https://aclanthology.org/W18-6211
- DOI:
- 10.18653/v1/W18-6211
- Cite (ACL):
- Ivan Sekulic, Matej Gjurković, and Jan Šnajder. 2018. Not Just Depressed: Bipolar Disorder Prediction on Reddit. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 72–78, Brussels, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- Not Just Depressed: Bipolar Disorder Prediction on Reddit (Sekulic et al., WASSA 2018)
- PDF:
- https://preview.aclanthology.org/landing_page/W18-6211.pdf