A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …

Abstract Models of mental health based on natural language processing can uncover latent
signals of mental health from language. Models that indicate whether an individual is …

Abstract Aspect-based Sentiment Analysis (ABSA) is used to detect corresponding
sentiment polarities toward different aspect terms. In recent years, graph convolutional …

Electronic medical record (EMR)-based suicide risk prediction methods typically rely on
analysis of structured variables such as demographics, visit history, and prescription data …

Stratifying patients with high risks of falling based on assessment with nursing notes is
essential for tailoring anticipated fall prevention strategies. However, the average exposure …

Millions of people are connecting and exchanging information on social media platforms,
where interpersonal interactions are constantly being shared. However, due to inaccurate or …

Background: Field notes, a form for resident-preceptor clinical encounter feedback, are
widely adopted across Canadian medical residency training programs for documenting …

Modern construction projects are vulnerable to cyber-attacks due to insufficient attention to
cybersecurity. Cyber risks in construction projects are not fully recognized, and the relevant …

Presently, individuals generate tremendous volumes of information on the internet. As a
result, sentiment analysis is a critical tool for automating a deep understanding of …

Sentiment analysis is an active research field as one of the most popular tasks of natural
language processing, which aims to extract valuable information from various social …