A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu
Depression is a highly complex and frequently unnoticed mental condition that presents substantial hazards to a person’s well-being. Many people use social media as a means of conveying their emotions in the digital age, creating a potential avenue for depression assessment through these...
Saved in:
| Main Authors: | Ruba Mohmand, Usman Habib, Muhammad Usman, Jamel Baili, Yunyoung Nam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10804764/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization
by: Waqar Ashiq, et al.
Published: (2024-11-01) -
Enhanced UrduAspectNet: Leveraging Biaffine Attention for superior Aspect-Based Sentiment Analysis
by: Kamran Aziz, et al.
Published: (2024-11-01) -
A Review on Text Sentiment Analysis With Machine Learning and Deep Learning Techniques
by: Yonatan Mamani-Coaquira, et al.
Published: (2024-01-01) -
UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu
by: Kifayat Ullah, et al.
Published: (2025-01-01) -
A dataset of Roman Urdu text with spelling variations for sentence level sentiment analysisMendeley Data
by: Mudasar Ahmed Soomro, et al.
Published: (2024-12-01)