Purpose Digital transformation (DT) is a major challenge for incumbent organisations, as
research on this phenomenon has revealed a high failure rate. Given this consideration, this …

More than half of the global population now uses social media. This technological ubiquity
has transformed the way that individuals communicate and engage with the world around …

Twitter is often used as a source of public opinion and sentiment data for analysis, where the
data can be used to understand public opinion about a topic. Sentiment analysis is widely …

For scientific discoveries to be valid—whether in theory or empirically—a phenomenon must
be accurately described: The scientist must use appropriate counterfactuals and eliminate …

Organizations are increasingly adopting automated video interviews (AVIs) to screen job
applicants despite a paucity of research on their reliability, validity, and generalizability. In …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

Emotion is the human feeling when communicating with other humans or reaction to
everyday events. Emotion classification is needed to recognize human emotions from text …

Given significant concerns about fairness and bias in the use of artificial intelligence (AI) and
machine learning (ML) for psychological assessment, we provide a conceptual framework …

With the advent of the modern pre-trained Transformers, the text preprocessing has started
to be neglected and not specifically addressed in recent NLP literature. However, both from …

Abstract Machine learning (ML) is being widely adopted by organizations to assist in
selecting personnel, commonly by scoring narrative information or by eliminating the …