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

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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>_).

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 <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 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> ================== =============================================

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