Python, NLP, Numpy, Scikit Learn.
will process a documents token list and output a vector with numeric values for each word for which a vector representation exists. class Word2VecEncoder(SciKitTransformer): def __init__(self, vocab): self.vocab = vocab self.vector_lookup = downloader.load('word2vec-google-news-300') def