sentences2vector

Get Similarity of two sentences based gensim word2vec trained model.

• A working Example exist on example directory.
• Docs available here

For saving your model from Gensim to our Module use this steps:

1- Train your Word2Vec model in Python Gensim.

2- Then store it as a plain text Google Word2Vec format.

model.wv.save_word2vec_format('./data/text.model', binary = False)
model.intersect_word2vec_format('./data/text.model', lockf=0.0, binary=False, encoding='utf8', unicode_errors='strict')

Aether: Amin Aghabeiki.

License MIT.

If you updated/improved it, please keep the code open source as is it! let make Open Source Greater!