# word2vec

**Repository Path**: skyarn/word2vec

## Basic Information

- **Project Name**: word2vec
- **Description**: Python interface to Google word2vec
- **Primary Language**: C
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-28
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

word2vec
========

[![travis-ci](https://api.travis-ci.org/danielfrg/word2vec.svg)](https://travis-ci.org/danielfrg/word2vec)

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:

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](https://github.com/zhangyafeikimi/word2vec-win32). Use at your own risk.

## Usage

Look at this example:
[word2vec](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/word2vec.ipynb)

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](http://nbviewer.ipython.org/urls/raw.github.com/danielfrg/word2vec/master/examples/doc2vec.ipynb)