\section{Limitations}
Both twitter and reddit datasets are limited datasets with a bias towards USA demographics group and may not be a true reflection of all the features related to depression detection. As depression symptoms may drastically vary and can be highly subjective, this work aims to only highlight depression related features and should not be primary source for depression diagnosis. The performance of MTEN is bottlenecked by the quality of the training dataset. Due to privacy concerns depression detection datasets are sparse, we plan to use synthetic data in the future to overcome this gap by learning data distribution and depression features from real data and at the same time maintaining user anonymity. Future iterations could include training the model with limited data or exploring zero-shot learning for better generalizabilty and enhanced model capabilities.