Multi-Class Depression Detection Dataset
<p>This dataset was created as part of the Master's thesis titled "Multi-Class Depression Detection Through Tweets Using Artificial Intelligence." It contains tweets labeled for five types of depression (Bipolar, Major, Psychotic, Atypical, and Postpartum) using lexicons verified by psychiatrists. </p> <p>Purpose: Designed for multi-class classification of depression using AI, focusing on Explainable AI for highlighting key words in the tweets influencing the predictions.<br>Applications: The dataset is suitable for research in natural language processing, sentiment analysis, mental health prediction, and Explainable AI.</p> <p>This dataset is shared under the Creative Commons Attribution 4.0 International (CC BY) license, requiring proper attribution for any use or modification.</p>
ShareScore
56/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 8