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 …
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 …
daily. However, timely diagnosis and treatment for depression are infrequent. Recent …
An ensemble approach to detect depression from social media platform: E-CLS
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 …
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 …
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
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 …
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 …
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
Depression, a prevalent and debilitating mental health disorder, affects millions of
individuals worldwide, profoundly impacting their quality of life. Early identification and …
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 …
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 …
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
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 …
significant attention due to its potential for the early identification and monitoring of mental …