This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words.
I've generated a 100D word2vec model using my domain text corpus, merging common phrases, for example (good bye => …
python numpy machine-learning hierarchical-clustering word2vec