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evekeys: Isolate keywords from an event-based and custom-grouped textual corpus

By Chris Lindgren chris.a.lindgren@gmail.com

Distributed under the BSD 3-clause license. See LICENSE.txt or http://opensource.org/licenses/BSD-3-Clause for details.

Documentation: https://evekeys.readthedocs.io/en/latest/


A set of functions that uses scikit-learn to conduct a TF-IDF analysis to isolate keywords from event-based documents. It answers the following questions:

  1. What keywords represent a particular period of content?
  2. What keywords represent a particular group of content from a particular period?

It assumes you have:

  • imported your corpus as a pandas DataFrame,
  • included metadata information, such as a list of dates and list of groups to reorganize your corpus, and
  • pre-processed your documents.

It functions only with Python 3.x and is not backwards-compatible.

Warning: evekeys performs little to no custom error-handling, so make sure your inputs are formatted properly. If you have questions, please let me know via email.

System requirements

  • pandas
  • sklearn
  • tqdm


pip install evekeys

Chris Lindgren
Chris Lindgren
Professor of Technical Communication and Data Visualization

My research interests include the relations created when writing code and theorizing the digital cultural rhetorics of white supremacy in the United States.