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https://github.com/jboynyc/textnets

Text analysis with networks.
https://github.com/jboynyc/textnets

computational-social-science network-analysis nlp sociology text-analysis text-as-data visualization

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Text analysis with networks.

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README 

        
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Textnets: text analysis with networks

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.. image:: https://mybinder.org/badge_logo.svg

   :target: https://mybinder.org/v2/gh/jboynyc/textnets-binder/trunk?filepath=Tutorial.ipynb

   :alt: Launch on Binder



.. image:: https://github.com/jboynyc/textnets/actions/workflows/ci.yml/badge.svg

   :target: https://github.com/jboynyc/textnets/actions/workflows/ci.yml

   :alt: CI Status



.. image:: https://readthedocs.org/projects/textnets/badge/?version=stable

   :target: https://textnets.readthedocs.io/en/stable/?badge=stable

   :alt: Documentation Status



.. image:: https://joss.theoj.org/papers/10.21105/joss.02594/status.svg

   :target: https://doi.org/10.21105/joss.02594

   :alt: Published in Journal of Open Source Software



**textnets** represents collections of texts as networks of documents and

words. This provides novel possibilities for the visualization and analysis of

texts.



.. figure:: https://textnets.readthedocs.io/en/dev/_static/impeachment-statements.svg

   :alt: Bipartite network graph



   Network of U.S. Senators and words used in their official statements

   following the acquittal vote in the 2020 Senate impeachment trial (`source

   `_).



**textnets** is free software under the terms of the GNU General Public License

v3.



The ideas underlying **textnets** are presented in this paper:



  Christopher A. Bail, "`Combining natural language processing and network

  analysis to examine how advocacy organizations stimulate conversation on social

  media`__," *Proceedings of the National Academy of Sciences of the United States

  of America* 113, no. 42 (2016), 11823–11828, doi:10.1073/pnas.1607151113.



__ https://doi.org/10.1073/pnas.1607151113



Initially begun as a Python implementation of `Chris Bail's textnets package

for R`_, **textnets** now comprises several unique features for term extraction

and weighing, visualization, and analysis.



.. _`Chris Bail's textnets package for R`: https://github.com/cbail/textnets/



Features

--------



**textnets** builds on `spaCy`_, a state-of-the-art library for

natural-language processing, and `igraph`_ for network analysis. It uses the

`Leiden algorithm`_ for community detection, which is able to perform community

detection on the bipartite (word–group) network.



.. _`igraph`: http://igraph.org/python/

.. _`Leiden algorithm`: https://doi.org/10.1038/s41598-019-41695-z

.. _`spaCy`: https://spacy.io/



**textnets** is installable using the ``pip`` and ``nix`` package managers. It

requires Python 3.9 or higher.



**textnets** integrates seamlessly with Python's excellent `scientific stack`_.

That means that you can use **textnets** to analyze and visualize your data in

Jupyter notebooks!



.. _`scientific stack`: https://scientific-python.org



Read `the documentation `_ to learn more about

the package's features.



Citation

--------



Using **textnets** in a scholarly publication? Please cite this paper:



.. code-block:: bibtex



   @article{Boy2020,

     author   = {John D. Boy},

     title    = {textnets},

     subtitle = {A {P}ython Package for Text Analysis with Networks},

     journal  = {Journal of Open Source Software},

     volume   = {5},

     number   = {54},

     pages    = {2594},

     year     = {2020},

     doi      = {10.21105/joss.02594},

   }



Learn More

----------



==================  =============================================

**Documentation**   https://textnets.readthedocs.io/

**Repository**      https://github.com/jboynyc/textnets

**Issues & Ideas**  https://github.com/jboynyc/textnets/issues

**PyPI**            https://pypi.org/project/textnets/

**FOSDEM ’22**      https://fosdem.org/2022/schedule/event/open_research_textnets/

**DOI**             `10.21105/joss.02594 `_

**Archive**         `10.5281/zenodo.3866676 `_

==================  =============================================



.. image:: https://textnets.readthedocs.io/en/dev/_static/textnets-logo.svg

   :alt: textnets logo

   :target: https://textnets.readthedocs.io

   :align: center

   :width: 140