travis-ci

Python interface to Google word2vec.

Training is done using the original C code, other functionality is pure Python with numpy.

pip install word2vec

The installation requires to compile the original C code:

1. The only requirement is gcc.
2. You can override the compilation flags if needed: W2V_CFLAGS='-march=corei7' pip install word2vec

Windows: There is some support for this support based on this win32 port. Use at your own risk.

Look at this example: word2vec

The default functionality from word2vec is also available from the command line as:

• word2vec
• word2phrase
• word2vec-distance
• word2vec-word-analogy
• word2vec-compute-accuracy

Experimental functionality on doc2vec can be found in this other example: doc2vec