Deep Learning, Naturallanguageprocessing, Embedding, Word2vec, Fasttext.
neighboring words (Thomas M. et al 2013). When the word2vec algorithm trained with enough data, it captures both syntactic and semantic relationships between words. As an example, “King” and “Queen” have a relationship with one another, with algebraic operations on generated vectors of these words