Understanding the digital jump of bank customers is key to design strategies to bring on
board and keep online users, as well as to explain the increasing competition from new …

Purpose The effect of the transition toward digital technologies on today's businesses (ie
Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that …

Purpose Internet emergence has evolved the business of tourism companies, and every
tourism company is available online and provides abundant choices, which causes …

Studi bibliometrik ini menyajikan analisis komprehensif tentang penerapan teknologi
pembelajaran mesin dalam sistem manufaktur. Dengan memanfaatkan teknik bibliometrik …

Automatic emotion categorization has been predominantly formulated as text classification
in which textual units are assigned to an emotion from a predefined inventory, for instance …

Hateful commenting, also known as 'toxicity', frequently takes place within news stories in
social media. Yet, the relationship between toxicity and news topics is poorly understood. To …

We propose a dynamic ensemble selection method, META-DES-AAP, to predict the success
of bank telemarketing sales of time deposits. Unlike existing machine learning-based …

What algorithm to choose for customer segmentation? Should you use one algorithm or
many? How many customer segments should you create? How to evaluate the results? In …

Even though machine learning (ML) applications are not novel, they have gained popularity
partly due to the advance in computing processing. This study explores the adoption of ML …

Sentiment analysis is becoming an essential tool for analyzing the contents of online
customer reviews. This analysis involves identifying the necessary labels to determine …