Metadata-Version: 2.1
Name: word2vec
Version: 0.11.1
Summary: Wrapper for Google word2vec
Home-page: https://github.com/danielfrg/word2vec
Maintainer: Daniel Rodriguez
Maintainer-email: daniel@danielfrg.com
License: Apache License, Version 2.0
Description: # word2vec
        
        [![PyPI](https://badge.fury.io/py/word2vec.svg)](https://pypi.org/project/word2vec/)
        [![Testing](http://github.com/danielfrg/word2vec/workflows/test/badge.svg)](http://github.com/danielfrg/word2vec/actions)
        [![Coverage Status](https://codecov.io/gh/danielfrg/word2vec/branch/master/graph/badge.svg)](https://codecov.io/gh/danielfrg/word2vec?branch=master)
        [![License](http://img.shields.io/:license-Apache%202-blue.svg)](http://github.com/danielfrg/word2vec/blob/master/LICENSE.txt)
        
        Python interface to Google word2vec.
        
        Training is done using the original C code, other functionality is pure Python with numpy.
        
        ## Installation
        
        ```
        pip install word2vec
        ```
        
        The installation requires to compile the original C code:
        
        ### Compilation
        
        In order to compile the original C code a `gcc` compiler is needed.
        
        You can override the compilation flags if needed:
        
        ```
        WORD2VEC_CFLAGS='-march=corei7' pip install word2vec
        ```
        
        **Windows:** There is basic some support for this support based on this [win32 port](https://github.com/zhangyafeikimi/word2vec-win32).
        
        ## Usage
        
        Example notebook: [word2vec](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/word2vec.ipynb)
        
        The default functionality from word2vec is available from the command line:
        - `word2vec`
        - `word2phrase`
        - `word2vec-distance`
        - `word2vec-word-analogy`
        - `word2vec-compute-accuracy`
        
        Experimental functionality on doc2vec can be found in this other example:
        [doc2vec](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/doc2vec.ipynb)
        
Keywords: NLP,word2vec
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: dev
