pyLDAvis 1.3.2

Interactive topic model visualization. Port of the R package.

Python library for interactive topic model visualization. This is a port of the fabulous R package by Carson Sievert and Kenny Shirley.

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.

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.

History

1.3.2 (2015-11-09)

• Gensim prepare 25% speed increase, thanks @mattilyra!

• Pandas deprecation warnings are now gone.

• Pandas v0.17 is now being used.

1.3.1 (2015-11-02)

• Updates gensim and other logic to be python 3 compatible.

1.3.0 (2015-08-20)

• Fixes gensim logic and makes it more robust.

• Faster graphlab processing.

• kargs for gensim and graphlab are passed down to underlying prepare function.

• Requires recent version of pandas to avoid problems with our use of the newer DataFrame.to_dict API.

1.2.0 (2015-06-13)

• Updates gensim logic to be clearer and work with Python 3.x.

1.1.0 (2015-06-02)

• Fixes bug with GraphLab function that was producing bogus visualizations.

1.0.0 (2015-05-29)

• First release on PyPI. Faithful port of R version with IPython support and helper functions for GraphLab & gensim.