Training Word2vec using gensim

Swatimeena
7 min readSep 29, 2020

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:

Swatimeena

Data Scientist @Sprinklr | IIT Bombay | IIT (ISM) Dhanbad