Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits

Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits

The escalating prevalence of mental health disorders, particularly depression, underscores the urgent need for early and accurate detection systems. The widespread use of social media has produced an extensive repository of user-generated content, offering critical insight into individuals&#x201...

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Bibliographic Details
Main Authors: Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptive gated fusion
cross-modal attention
depression
multimodal learning
Myers–Briggs Type Indicator
personalized detection
Online Access:https://ieeexplore.ieee.org/document/11098834/
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https://ieeexplore.ieee.org/document/11098834/

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