[HTML][HTML] 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 …
[HTML][HTML] An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla
Mental health has become a major concern in recent years. Social media have been
increasingly used as platforms to gain insight into a person's mental health condition by …
increasingly used as platforms to gain insight into a person's mental health condition by …
Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques
Depression is a widespread mental health disorder that may remain undiagnosed by
conventional clinical methods. The rapidly growing world of social media sites such as …
conventional clinical methods. The rapidly growing world of social media sites such as …
Sentiment analysis on Bangla text using long short-term memory (LSTM) recurrent neural network
Sentiment analysis has become an important source in people's trust. Search engine
statistics and the local survey show 92% of consumers trust online reviews as much as …
statistics and the local survey show 92% of consumers trust online reviews as much as …
Enhancing Depressive Post Detection in Bangla: A Comparative Study of TF-IDF, BERT and FastText Embeddings
SA Sazan, MH Miraz, ABM Rahman - ar** mental health disorders through machine learning techniques using online social media
A Khan, R Ali - Social Network Analysis and Mining, 2024 - Springer
People worldwide have suffered tremendously in terms of their mental health due to years of
exposure to stress, anxiety, and the pressures of today's fast-paced lifestyles. The …
exposure to stress, anxiety, and the pressures of today's fast-paced lifestyles. The …