Word2Vec and FastText Word Embedding with Gensim
Published in
7 min readFeb 4, 2018
In Natural Language Processing (NLP), we often map words into vectors that contains numeric values so that machine can understand it. Word embedding is a type of mapping that allows words with similar meaning to have similar representation. This article will introduce two state-of-the-art word embedding methods, Word2Vec and FastText with their implementation in Gensim.
