Multi-Class Depression Detection Dataset

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. 

Purpose: Designed for multi-class classification of depression using AI, focusing on Explainable AI for highlighting key words in the tweets influencing the predictions.Applications: The dataset is suitable for research in natural language processing, sentiment analysis, mental health prediction, and Explainable AI.

This dataset is shared under the Creative Commons Attribution 4.0 International (CC BY) license, requiring proper attribution for any use or modification.