Metadata-Version: 1.1
Name: pyLDAvis
Version: 1.4.1
Summary: Interactive topic model visualization. Port of the R package.
Home-page: https://github.com/bmabey/pyLDAvis
Author: Ben Mabey
Author-email: ben@benmabey.com
License: MIT
Download-URL: https://github.com/bmabey/pyLDAvis/tarball/1.2.0
Description: pyLDAvis
        ========
        
        Python library for interactive topic model visualization.
        This is a port of the fabulous `R package <https://github.com/cpsievert/LDAvis>`__ 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.
        
        |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 <http://nbviewer.ipython.org/github/bmabey/pyLDAvis/blob/master/notebooks/pyLDAvis_overview.ipynb>`__.
        Refer to the `documentation <https://pyLDAvis.readthedocs.org>`__ for details.
        
        For a concise explanation of the visualization see this
        `vignette <http://cran.r-project.org/web/packages/LDAvis/vignettes/details.pdf>`__ 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 <https://www.youtube.com/watch?v=tGxW2BzC_DU&index=4&list=PLykRMO7ZuHwP5cWnbEmP_mUIVgzd5DZgH>`__
        -  `Notebook and visualization used in the demo <http://nbviewer.ipython.org/github/bmabey/hacker_news_topic_modelling/blob/master/HN%20Topic%20Model%20Talk.ipynb>`__
        -  `Slide deck <https://speakerdeck.com/bmabey/visualizing-topic-models>`__
        
        
        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 <http://stat-graphics.org/movies/ldavis.html>`__
        
        More documentation
        ~~~~~~~~~~~~~~~~~~
        
        To read about the methodology behind pyLDAvis, see `the original
        paper <http://nlp.stanford.edu/events/illvi2014/papers/sievert-illvi2014.pdf>`__,
        which was presented at the `2014 ACL Workshop on Interactive Language
        Learning, Visualization, and
        Interfaces <http://nlp.stanford.edu/events/illvi2014/>`__ 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
        
        
        
        
        History
        -------
        
        1.4.1 (2016-01-31)
        ---------------------
        
        * Included requirements.txt in MANIFEST to (hopefully) fix bad release.
        
        1.4.0 (2016-01-31)
        ---------------------
        
        * Updated to newest version of skibio for PCoA mds.
        * requirements.txt cleanup
        * New 'tsne' option for prepare, see docs and notebook for more info.
        
        
         1.3.5 (2015-12-18)
        ---------------------
        
        * Add explicit version info for scikit-bio since the API has changed.
        
        
        1.3.4 (2015-11-16)
        ---------------------
        
        * Gensim Python typo fix in imports. :/
        
        1.3.3 (2015-11-13)
        ---------------------
        
        * Gensim Python 2.x fix for absolute imports.
        
        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.
        
Keywords: data science,visualization
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
