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WET: Weighted Ensemble Transformer-A Model For Identifying Psychiatric Stressors Related To Suicide On X (Formerly Twitter) by monzer is a document available to read on EtoBox.

What is WET: Weighted Ensemble Transformer-A Model For Identifying Psychiatric Stressors Related To Suicide On X (Formerly Twitter) about?

The document presents the Weighted Ensemble Transformer (WET), a dual-branch deep learning model designed to identify psychiatric stressors related to suicide in posts on X (formerly Twitter). The model integrates semantic representations with emotional and contextual signals, achieving a state-of-the-art accuracy of 0.9901 in binary classification through extensive evaluation on a large-scale annotated dataset of over 125,000 tweets. This research highlights the importance of combining deep learning techni

Author

monzer

Language

EN