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Chronogram

Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation

Install / Use

/learn @bab2min/Chronogram
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Chrono-gram

.. image:: https://badge.fury.io/py/chronogram.svg :target: https://pypi.python.org/pypi/chronogram

Chrono-gram is a diachronic word embedding model based on SGNS(word2vec Skip-gram with Negative Sampling) with Chebyshev approximation.

Getting Started

  1. Install using pip

.. code::

$ pip install chronogram

C++11 or later requires a compilable compiler for installation on Linux or macOS.

  1. Compile from sources

Download this repository and run commands following:

.. code::

$ python setup.py build

Eigen 3.0 or later(http://eigen.tuxfamily.org/index.php?title=Main_Page) is needed to compile.

Python API

Here is a brief sample code. https://github.com/bab2min/chronogram/blob/master/example.py

Demo

Text Dating & Finding similar words using Chrono-gram

https://lab.bab2min.pe.kr/chronogram

View on GitHub
GitHub Stars13
CategoryDevelopment
Updated1y ago
Forks0

Languages

C++

Security Score

65/100

Audited on Nov 3, 2024

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