[HTML][HTML] EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment
Abstract Internet-delivered Psychological Treatment (IDPT) has been shown to be an
effective method for improving psychological disorders. Natural language processing (NLP) …
effective method for improving psychological disorders. Natural language processing (NLP) …
Automatic human emotion classification in web document using fuzzy inference system (FIS): human emotion classification
PM Shakeel, S Baskar - … of Technology and Human Interaction (IJTHI …, 2020 - igi-global.com
Textual information mining deals with various information extraction methods that can be
evolved from the rapid growth of textual information through human machine interface for …
evolved from the rapid growth of textual information through human machine interface for …
Attention-enabled ensemble deep learning models and their validation for depression detection: A domain adoption paradigm
Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …
Hyper-graph attention based federated learning methods for use in mental health detection
U Ahmed, JCW Lin, G Srivastava - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Internet-Delivered Psychological Treatment (IDPT) has become necessary in the medical
field. Deep neural networks (DNNs) require large, diverse patient populations to train …
field. Deep neural networks (DNNs) require large, diverse patient populations to train …
Detecting suicidal ideation in Chinese microblogs with psychological lexicons
Suicide is among the leading causes of death in China. However, technical approaches
toward preventing suicide are challenging and remaining under development. Recently …
toward preventing suicide are challenging and remaining under development. Recently …
Early depression detection in social media based on deep learning and underlying emotions
Depression is a challenge to public health, frequently related to disability and one of the
reasons that lead to suicide. Many of the ones who suffer depression use social media to …
reasons that lead to suicide. Many of the ones who suffer depression use social media to …
Screening internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods
C Karmen, RC Hsiung, T Wetter - Computer methods and programs in …, 2015 - Elsevier
Depression is a disease that can dramatically lower quality of life. Symptoms of depression
can range from temporary sadness to suicide. Embarrassment, shyness, and the stigma of …
can range from temporary sadness to suicide. Embarrassment, shyness, and the stigma of …
Creating a Chinese suicide dictionary for identifying suicide risk on social media
M Lv, A Li, T Liu, T Zhu - PeerJ, 2015 - peerj.com
Introduction. Suicide has become a serious worldwide epidemic. Early detection of
individual suicide risk in population is important for reducing suicide rates. Traditional …
individual suicide risk in population is important for reducing suicide rates. Traditional …
Fuzzy contrast set based deep attention network for lexical analysis and mental health treatment
U Ahmed, JCW Lin, G Srivastava - Transactions on Asian and Low …, 2022 - dl.acm.org
Internet-delivered psychological treatments (IDPT) consider mental problems based on
Internet interaction. With such increased interaction because of the COVID-19 pandemic …
Internet interaction. With such increased interaction because of the COVID-19 pandemic …
Design of text sentiment analysis tool using feature extraction based on fusing machine learning algorithms
Abstract Text Sentiment Analysis is a system where text feeling polarity is positive or
negative or neutral from a series of texts or documents or public opinions on a particular …
negative or neutral from a series of texts or documents or public opinions on a particular …