... thematic characteristics, and subjective emotional characteristics. It then employs a range of classification techniques—including traditional machine learning, deep learning, ensemble methods, and hybrid models—to perform group classification of discussants. Findings The best-performing model achieves...

... Artificial intelligence Machine learning The literature review in this study comprises of smartphone security research in terms of Bring Your Own Device (BYOD) security policy compliance and smartphone security in general settings. In order to capture smartphone security studies extensively...

... rights only Artificial intelligence Machine learning User experience User interface Design User-centred design process Systematic literature review When developing a digital artefact or service, designers need to create an overall user experience (UX) that meets end-user requirements...

... of user-generated products on the platform. Design/methodology/approach The study conducted multi-relational network analyses of five different sub-networks in identifying influential factors for e-book adoption. Meanwhile, the study adopted machine learning methods with different classification...