https://github.com/bmabey/pyLDAvis

Python library for interactive topic model visualization. Port of the R LDAvis package.
https://github.com/bmabey/pyLDAvis

Last synced: 3 months ago
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Python library for interactive topic model visualization. Port of the R LDAvis package.

• Host: GitHub
• URL: https://github.com/bmabey/pyLDAvis
• Owner: bmabey
• License: bsd-3-clause
• Created: 2015-04-09T22:48:03.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2024-04-29T20:57:51.000Z (6 months ago)
• Last Synced: 2024-06-18T12:43:14.470Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 6.19 MB
• Stars: 1,788
• Watchers: 49
• Forks: 361
• Open Issues: 78
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Authors: AUTHORS.rst

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README

        
pyLDAvis

========

Python library for interactive topic model visualization.

This is a port of the fabulous `R package `_ by `Carson Sievert `__ and `Kenny Shirley `__.

.. figure:: http://www.kennyshirley.com/figures/ldavis-pic.png

   :alt: LDAvis icon

**pyLDAvis** is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.

The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.

Note: LDA stands for `latent Dirichlet allocation `_.

|version status| |build status| |docs|

Installation

~~~~~~~~~~~~~~~~~~~~~~

-  Stable version using pip:

::

    pip install pyldavis

-  Development version on GitHub

Clone the repository and run ``python setup.py``

Usage

~~~~~~~~~~~~~~~~~~~~~~

The best way to learn how to use **pyLDAvis** is to see it in action.

Check out this `notebook for an overview `__.

Refer to the `documentation `__ for details.

For a concise explanation of the visualization see this

`vignette `__ from the LDAvis R package.

Video demos

~~~~~~~~~~~

Ben Mabey walked through the visualization in this short talk using a Hacker News corpus:

-  `Visualizing Topic Models `__

-  `Notebook and visualization used in the demo `__

-  `Slide deck `__

`Carson Sievert `__ created a video demoing the R package. The visualization is the same and so it applies equally to pyLDAvis:

-  `Visualizing & Exploring the Twenty Newsgroup Data `__

More documentation

~~~~~~~~~~~~~~~~~~

To read about the methodology behind pyLDAvis, see `the original

paper `__,

which was presented at the `2014 ACL Workshop on Interactive Language

Learning, Visualization, and

Interfaces `__ in Baltimore

on June 27, 2014.

.. |version status| image:: https://img.shields.io/pypi/v/pyLDAvis.svg

   :target: https://pypi.python.org/pypi/pyLDAvis

.. |build status| image:: https://travis-ci.org/bmabey/pyLDAvis.png?branch=master

   :target: https://travis-ci.org/bmabey/pyLDAvis

.. |docs| image:: https://readthedocs.org/projects/pyldavis/badge/?version=latest

   :target: https://pyLDAvis.readthedocs.org