Language models for text classification: From bag-of-words to Jev
An article examines the development of text‑classification techniques, tracing the shift from traditional bag‑of‑words representations toward modern language‑model approaches, including the recently introduced Jev system. It outlines how early statistical methods gave way to deep‑learning models that capture contextual meaning, and discusses the advantages, challenges, and potential applications of these newer architectures in various NLP tasks.