#Word2vec

Word2Vec is a model that boasts of lining up words in a vector space with ‘numeric magic’, yet actually draws a crude map based on co-occurrence alone. Researchers peer into this map as if uncovering profound insights, only to use it for the mundane task of labeling similar words. While it professes to understand language, in practice it indulges in search highlighting and recommendation amusements. Celebrated as versatile, it remains powerless against unknown vocabulary gaps.