Comparing Selective Masking Methods for Depression Detection in Social Media
Saved in:
| Main Authors: | Chanapa Pananookooln, Jakrapop Akaranee, Chaklam Silpasuwanchai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2023-11-01
|
| Series: | Computational Linguistics |
| Online Access: | http://dx.doi.org/10.1162/coli_a_00479 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection
by: İsmail Baydili, et al.
Published: (2025-03-01) -
Behind the mask: Random and selective masking in transformer models applied to specialized social science texts.
by: Joan C Timoneda, et al.
Published: (2025-01-01) -
Enhancing TextGCN for depression detection on social media with emotion representation
by: Huimin Mao, et al.
Published: (2025-08-01) -
A Media Pharmacology of Face Masks
by: Yigit Soncul
Published: (2022-12-01) -
Detecting signs of depression on social media: A machine learning analysis and evaluation
by: Phi Ta, et al.
Published: (2025-12-01)