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

MA Abbas, K Munir, A Raza, NA Samee… - IEEE …, 2024 - ieeexplore.ieee.org
Depression constitutes a significant mental health condition, impacting an individual's
emotional state, thought processes, and ability to carry out everyday tasks. Depression is …

BERT-Driven Deep Learning Approach for Depression Detection in Social Media Posts

P Karna, SK Keshari, AK Mandal… - 2023 1st International …, 2023 - ieeexplore.ieee.org
Depression constitutes a worldwide health emergency, impacting countless individuals
daily. However, timely diagnosis and treatment for depression are infrequent. Recent …

An ensemble approach to detect depression from social media platform: E-CLS

SS Tiwari, R Pandey, A Deepak, JP Singh… - Multimedia Tools and …, 2024 - Springer
Depression, a prevalent adult symptom, can arise from various sources, including mental
health conditions and social interactions. With the rise of social media, adults often share …

FTDD: Representation Learning using Fourier Transformations for Depression Detection in Social Media Content

T Eswar, USS Varshini, V Kumar… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Depression is a prevalent and substantial mental health challenge worldwide, and its
presence is frequently noticeable through textual posts on various online social media …

Detecting Signs of Depression from Social Media Texts using Generalized Autoregressive Pretraining Transformer Model

FS Tamim, ZS Taheri, MM Hoque - 2023 26th International …, 2023 - ieeexplore.ieee.org
Recognizing signs or symptoms of depression involves determining subtle linguistic cues
and patterns within the textual content to reveal indicators of someone's potential depressive …

Depression detection using semantic representation based semi-supervised deep learning

GK Gupta, DK Sharma - International Journal of Data …, 2023 - inderscienceonline.com
Depression detection has become an arduous task in social media due to its complicated
association with mental disorders. This work focuses on extracting the depressive features in …

AI-Enabled Deep Depression Detection and Evaluation Informed by DSM-5-TR

TT Prama, MS Islam, MM Anwar… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Depression, a prevalent and debilitating mental health disorder, affects millions of
individuals worldwide, profoundly impacting their quality of life. Early identification and …

An Enhanced BERT Model for Depression Detection on Social Media Posts

R Nareshkumar, K Nimala - … Conference on Artificial Intelligence on Textile …, 2023 - Springer
Depression and other forms of mental illness are relatively common, and it has been shown
that these conditions have an effect on an entity's physical health. Newly, artificial …

DepBoost-TransNet: Boosted Transformer Network for Depression Classification

P Anil Rahood, PK Kumaresan… - … Conference on Speech …, 2023 - Springer
Depression presents a significant global mental health challenge affecting countless
individuals across the globe. Early detection is of paramount importance, yet conventional …

Deep learning-based depression detection from social media: Comparative evaluation of ML and transformer techniques

BG Bokolo, Q Liu - Electronics, 2023 - mdpi.com
Detecting depression from user-generated content on social media platforms has garnered
significant attention due to its potential for the early identification and monitoring of mental …