Novel Transformer Based Contextualized Embedding and Probabilistic Features for Depression Detection From Social Media

Novel Transformer Based Contextualized Embedding and Probabilistic Features for Depression Detection From Social Media

Depression constitutes a significant mental health condition, impacting an individual’s emotional state, thought processes, and ability to carry out everyday tasks. Depression is defined by ongoing feelings of sadness, diminished interest in previously enjoyed activities, alterations in h...

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Bibliographic Details
Main Authors: Muhammad Asad Abbas, Kashif Munir, Ali Raza, Nagwan Abdel Samee, Mona M. Jamjoom, Zahid Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Depression detection
machine learning
deep learning
text mining
BERT
transformer
Online Access:https://ieeexplore.ieee.org/document/10496991/

Internet

https://ieeexplore.ieee.org/document/10496991/

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