The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Scene text detection has always been a research hotspot in computer vision and image
understanding. With the development of deep learning, segmentation-based methods have …

Suicide is a significant public health issue that devastates individuals and society. Early
warning systems are crucial in preventing suicide. The purpose of this research is to create a …

Nowadays, the significance of monitoring stress levels and recognizing early signs of mental
illness cannot be overstated. Automatic stress detection in text can proactively help manage …

Depression is a significant issue nowadays. As per the World Health Organization (WHO), in
2023, over 280 million individuals are grappling with depression. This is a huge number; if …

Depression, a significant psychiatric disorder, affects individuals' physical well-being and
daily functioning. This focused analysis provides a comprehensive exploration of …

The impact of language models in various applications like machine translation, speech
recognition, and chatbots has transformed text-based services. Despite being spoken by …

In the digital era, online social networks (OSNs) have revolutionized communication,
creating spaces for vibrant public discourse. However, these platforms also harbor offensive …

Sentiment Analysis (SA) refers to the task of associating a view polarity (usually, positive,
negative, or neutral; or even fine-grained such as slightly angry, sad, etc.) to a given text …

The surge in internet use for expression of personal thoughts and beliefs has made it
increasingly feasible for the social Natural Language Processing (NLP) research community …