Training Word2vec using gensim

Word2vec is a method to create word embeddings efficiently and has been around since 2013. Word2vec is a two-layer neural net that processes text by “vectorizing” words. Its input is a text corpus and its output is a set of vectors: feature vectors that represent words in that corpus.

Contents of the blog:

• What is Word embedding?
• Why do we need word embedding?