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Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
Depression and suicide risk detection on social media using fasttext embedding and xgboost classifier
Nowadays, people with depression reveal their mental conditions on social webs for
emotional relief. Detection of suicide risk and depression content can save society and the …
emotional relief. Detection of suicide risk and depression content can save society and the …
SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions
A Cohan, B Desmet, A Yates, L Soldaini… - ar** review
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
[HTML][HTML] Linguistic features of suicidal thoughts and behaviors: A systematic review
Abstract Language is a potential source of predictors for suicidal thoughts and behaviors
(STBs), as changes in speech characteristics, communication habits, and word choice may …
(STBs), as changes in speech characteristics, communication habits, and word choice may …
An effective, efficient, and scalable confidence-based instance selection framework for transformer-based text classification
Transformer-based deep learning is currently the state-of-the-art in many NLP and IR tasks.
However, fine-tuning such Transformers for specific tasks, especially in scenarios of ever …
However, fine-tuning such Transformers for specific tasks, especially in scenarios of ever …
Transfer learning-based convolutional neural networks with heuristic optimization for hand gesture recognition
Human action recognition (HAR) has a considerable place in scientific studies. Additionally,
hand gesture recognition, which is a subcategory of HAR, plays an important role in …
hand gesture recognition, which is a subcategory of HAR, plays an important role in …