chronogram

Chrono-gram, the diachronic word embedding model based on Word2vec Skip-gram with Chebyshev approximation

Project description

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

Getting Started

Install using pip

$ pip install chronogram

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

Compile from sources

Download this repository and run commands following:

$ 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

Project details

Release history Release notifications | RSS feed

0.2.0

Jun 6, 2023

This version

0.1.7

Sep 23, 2019

0.1.5

Sep 5, 2019

0.1.3

Aug 27, 2019

0.1.2

Aug 3, 2019

0.1.1

Aug 2, 2019

0.1.0

Jul 28, 2019

0.0.0

Jun 23, 2019

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chronogram-0.1.7.tar.gz (830.5 kB view hashes)

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Uploaded Sep 23, 2019 CPython 3.5m Windows x86-64

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Uploaded Sep 23, 2019 CPython 3.5m Windows x86

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