[HTML][HTML] Deep learning for prediction of depressive symptoms in a large textual dataset
Depression is a common illness worldwide with potentially severe implications. Early
identification of depressive symptoms is a crucial first step towards assessment, intervention�…
identification of depressive symptoms is a crucial first step towards assessment, intervention�…
[HTML][HTML] Deep learning for depression detection from textual data
A Amanat, M Rizwan, AR Javed, M Abdelhaq…�- Electronics, 2022 - mdpi.com
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present�…
implications. Timely recognition of emotional responses plays a pivotal function at present�…
[HTML][HTML] Automatic depression score estimation with word embedding models
Depression is one of the most common mental health illnesses. The biggest obstacle lies in
an efficient and early detection of the disorder. Self-report questionnaires are the�…
an efficient and early detection of the disorder. Self-report questionnaires are the�…
[HTML][HTML] An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM
Depression has become one of the most widespread mental health disorders across the
globe. Depression is a state of mind which affects how we think, feel, and act. The number of�…
globe. Depression is a state of mind which affects how we think, feel, and act. The number of�…
Predicting depression symptoms in an Arabic psychological forum
Recently, social media platforms have been widely used as a communication tool on social
networks. Many users have utilized these platforms to reflect their personal lives. These�…
networks. Many users have utilized these platforms to reflect their personal lives. These�…
Utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences
M Trotzek, S Koitka, CM Friedrich�- IEEE Transactions on�…, 2018 - ieeexplore.ieee.org
Depression is ranked as the largest contributor to global disability and is also a major
reason for suicide. Still, many individuals suffering from forms of depression are not treated�…
reason for suicide. Still, many individuals suffering from forms of depression are not treated�…
[Retracted] A Novel Text Mining Approach for Mental Health Prediction Using Bi‐LSTM and BERT Model
With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related�…
intelligent and smart systems that can efficiently address the detection of health‐related�…
Fine-grained depression analysis based on Chinese micro-blog reviews
Depression is a widespread and intractable problem in modern society, which may lead to
suicide ideation and behavior. Analyzing depression or suicide based on the posts of social�…
suicide ideation and behavior. Analyzing depression or suicide based on the posts of social�…
Deep learning for depression detection of twitter users
AH Orabi, P Buddhitha, MH Orabi…�- Proceedings of the fifth�…, 2018 - aclanthology.org
Mental illness detection in social media can be considered a complex task, mainly due to the
complicated nature of mental disorders. In recent years, this research area has started to�…
complicated nature of mental disorders. In recent years, this research area has started to�…
Text-based depression detection on social media posts: A systematic literature review
D William, D Suhartono�- Procedia Computer Science, 2021 - Elsevier
Due to the huge increase of awareness of mental health well-being, the detection of mental
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in�…
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in�…