Skip to main content

Flesch Kincaid readability scoring algorithm

Project description

fkscore

Flesch Kincaid readability score for text

A Python module implementation of the Flesch Kincaid readability score algorithm.

The source code is released under the MIT License.

Installation

pip3 install fkscore

Usage

For text in python represented as a string.

Takes text as string datatype. Words can be on same or different lines. Current version is English language only. Email for support.

import fkscore
text = '...blah blah blah...'
f = fkscore.fkscore(text)
print(f.stats)
print(f.score)

OR

from fkscore import fkscore
text = '...blah blah blah...'
f = fkscore(text)
print(f.stats)
print(f.score)

Output

Output includes 2 dictionaries of information as follows:

  • stats:
    • stats['num_words']
    • stats['num_syllables']
    • stats['num_sentences']
  • score:
    • score['readability'] # Calculated F-K Readability Score
    • score['grade'] # Permuted F-K Grade Reading Level

Releases

Releases and additions will push to PyPi periodically, but if there is a feature in master not built/pushed and you want it to be, just ping me.

History

This is a maintained as an implementation of the Flesch-Kincaid readability algorithm which was initially developed in 1948 by Rudolph Flesch and later revised by the U.S. Navy in 1975. This module is pure python and works with 3.5+.

Questions

Feel free to ping for questions, comments, concerns or interact directly via the GitHub repository.

Randall Shane, PhD
Randall.Shane@CodeIntelligence.IO
https://github.com/RandallShanePhD/fkscore
Thank you!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fkscore-1.1.6.tar.gz (3.4 kB view hashes)

Uploaded source

Built Distribution

fkscore-1.1.6-py3-none-any.whl (4.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page