===================================== Textnets: text analysis with networks

.. 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://anaconda.org/conda-forge/textnets/badges/installer/conda.svg :target: https://anaconda.org/conda-forge/textnets :alt: Install with conda

.. 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 <https://www.jboy.space/blog/enemies-foreign-and-partisan.html>_).

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/

textnets is free software under the terms of the GNU General Public License v3.

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 seamlessly integrates 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://numfocus.org/

textnets is easily installable using the conda and pip package managers. It requires Python 3.8 or higher.

Read the documentation <https://textnets.readthedocs.io>_ 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 Conda-Forge https://anaconda.org/conda-forge/textnets PyPI https://pypi.org/project/textnets/ FOSDEM '22 https://fosdem.org/2022/schedule/event/open_research_textnets/ DOI 10.21105/joss.02594 <https://doi.org/10.21105/joss.02594>_ Archive 10.5281/zenodo.3866676 <https://doi.org/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