Metadata-Version: 2.1
Name: aenigma
Version: 0.1.1
Summary: The Aenigma library calculates the Relative Complexity Score (RCS) of each sentence in a given body of text
Author-email: Sohal Sudheer <sohalsdr@gmail.com>, Griffin Pitts <griffpitts@gmail.com>, Harris Sarfaraz <harrisms305@gmail.com>
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Natural Language :: English
Classifier: Topic :: Text Processing
Requires-Dist: nltk >=3.8.1
Requires-Dist: syllables >=1.0.7
Project-URL: Bug Tracker, https://github.com/NeuroRead/Aenigma/issues
Project-URL: Homepage, https://github.com/NeuroRead
Project-URL: Source, https://github.com/NeuroRead/Aenigma

# Aenigma

The Aenigma library calculates the Relative Complexity Score (RCS) of each sentence in a given body of text. It achieves this by calculating the Flesch-Kincaid score of every individual sentence within the body of text, then comparing them against the mean score.

