Depression Detection Dataset

该数据集是一组黄金标准数据，能够从社交媒体帖子中检测出不同程度的抑郁状态，这些状态被分为“未抑郁”、“中度抑郁”和“严重抑郁”三个类别。在分类之前，该数据集还通过使用SMOTE技术进行了数据增强，以平衡各个类别。数据集的规模属于中等，其任务是利用社交媒体数据检测抑郁程度。

This dataset is a gold-standard resource for detecting varying degrees of depressive states from social media posts, which are categorized into three classes: "non-depressed", "moderately depressed", and "severely depressed". Prior to the classification process, data augmentation was performed on the dataset using the SMOTE technique to balance the class distribution. The dataset is of medium scale, and its targeted task is to detect the severity of depressive states using social media data.