12.4 Readability Assessment with Textatistic
An interesting use of natural language processing is assessing text readability, which is affected by the vocabulary used, sentence structure, sentence length, topic and more. While writing this book, we used the paid tool Grammarly to help tune the writing and ensure the text’s readability for a wide audience.
In this section, we’ll use the Textatistic library24 to assess readability.25 There are many formulas used in natural language processing to calculate readability. Textatistic uses five popular readability formulas—Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall.
Get Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
