Seasonal Affective Disorder (SAD) Dataset - 4646

We have obtained data from May 2022 to October 2023 for our suggested framework modelling. This set of data incorporates seasonality-related speech, which we convert into text, Facebook, and Twitter posts. On the whole, 4646 data elements have been acquired, comprising 3716 representing affected individuals and the remainder of 930 representing unaffected individuals, which generated a proportional 4:1 ratio. To further enhance the effectiveness of the system, we were able to employ the Synthetic Minority Over-sampling Technique (SMOTE) for balancing the dataset using oversampling, resulting in a balance between affected and unaffected classes. After we balance our data, we proceed to implement our proposed machine learning algorithms.