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Deep Learning for Detecting Depression on Twitter by ishan123456789000000 is a document available to read on EtoBox.

This article presents a multi-class deep learning approach for the early detection of depressive and anxiety disorders using Twitter data. The authors propose a methodology that involves testing various deep learning models to classify tweets into three categories: normal, potentially depressive, and potentially anxious, aiming for improved detection accuracy compared to traditional binary classification models. Results indicate that their models achieve competitive accuracy rates, validating the effectiven

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ishan123456789000000

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EN