regarding comprehensive LLM-based solutions that automate the association of competence with professional roles and the semantic … enrichment of corporate competence taxonomies. In this study, we present two innovative solutions: the automated semantic …

This study presents a comprehensive bibliographic and semantic analysis of 3957 scientific publications on artificial …

these measures capture disclosure intensity, they do not directly assess whether the internal semantic organization of risk … narratives has shifted relative to historical patterns. We propose a structural semantic deviation framework that represents each … isolate structural breaks, whereas embedding-based semantic trajectories reveal substantial narrative reconfiguration …

an AI-driven framework combining BERTopic, semantic similarity analysis, and deep reinforcement learning (DRL) to … “Digital economy and carbon transformation” remain underrepresented, with a popularity score of only 0.13. Semantic similarity …

This study investigates the semantic alignment between Airbnb property descriptions and guest reviews. Word2Vec … embeddings and affinity propagation clustering are used to identify granular semantic concepts, enabling a detailed comparison of …