https://github.com/sylhare/simple-lda

:bookmark: simple lda - latent dirichlet allocation
https://github.com/sylhare/simple-lda

language-processing latent-dirichlet-allocation lda python

Last synced: 2 months ago
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:bookmark: simple lda - latent dirichlet allocation

• Host: GitHub
• URL: https://github.com/sylhare/simple-lda
• Owner: sylhare
• License: apache-2.0
• Created: 2017-03-17T15:56:59.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-04-07T18:06:09.000Z (over 5 years ago)
• Last Synced: 2024-10-07T12:54:57.876Z (3 months ago)
• Topics: language-processing, latent-dirichlet-allocation, lda, python
• Language: Jupyter Notebook
• Homepage:
• Size: 27 MB
• Stars: 2
• Watchers: 4
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# simple-lda

[![Generic badge](https://img.shields.io/badge/github-simple%20lda-blue.svg)](https://github.com/sylhare/simple-lda) 

[![PyPI version](https://badge.fury.io/py/simple-lda.svg)](https://badge.fury.io/py/simple-lda)

[![Build Status](https://travis-ci.org/sylhare/simple-lda.svg?branch=master)](https://travis-ci.org/sylhare/simple-lda) 

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/78c4fa98c13b461a9efb74e66492ee5b)](https://www.codacy.com/app/sylhare/lda?utm_source=github.com&utm_medium=referral&utm_content=sylhare/lda&utm_campaign=Badge_Grade)

Latent Dirichlet allocation (LDA) is a topic model that generates topics based on word frequency from a set of documents. 

LDA is particularly useful for finding reasonably accurate mixtures of topics within a given document set.

## Installation

The library is available on PyPI:

```

    pip install simple-lda

```

## Sources

- [Edwin Chen Introduction to latent Dirichlet Allocation](http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/)

- [Jordan Barder LDA with Python walkthrough](https://rstudio-pubs-static.s3.amazonaws.com/79360_850b2a69980c4488b1db95987a24867a.html)

- [Gensim library for lda based on M Hoffman's paper](https://radimrehurek.com/gensim/models/ldamodel.html) 

- [Snowball for Porter stemming algorithm ](http://snowball.tartarus.org/algorithms/english/stemmer.html)

- [Bird, Steven, Edward Loper and Ewan Klein (2009), Natural Language Processing with Python. O’Reilly Media Inc

](http://www.nltk.org/index.html)