Algorithmic decision-making is becoming increasingly common as a new source of advice in
HR recruitment and HR development. While firms implement algorithmic decision-making to …

Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …

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 …

Natural language processing (NLP) is a form of machine learning which enables the
processing and analysis of free text. When used with medical notes, it can aid in the …

This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …

Artificial Intelligence (AI) has emerged as a transformative force in the realm of product
management, offering a theoretical framework that reshapes the journey from ideation to …

Objectives Unstructured free-text patient feedback contains rich information, and analysing
these data manually would require a lot of personnel resources which are not available in …

This study aims to use computational linguistics, visual analytics, and deep learning
techniques to analyze hotel reviews and responses collected on TripAdvisor and to identify …

With recent developments in medical imaging facilities, extensive medical imaging data are
produced every day. This increasing amount of data provides an opportunity for researchers …

As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …