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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.&nbsp;</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

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