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/

Overview

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

Installation

pip install evekeys

Known Issues or Limitations

• Please contact me if you discover any issues.

Example notebooks

• Coming soon.

Distribution update terminal commands

# Create new distribution of code for archiving
sudo python setup.py sdist bdist_wheel

# Distribute to Python Package Index
python -m twine upload --repository-url https://upload.pypi.org/legacy/ dist/*