readme.md

smog-formula

Formula to detect the grade level of text according to the SMOG (simple measure of gobbledygook) formula.

Contents

• What is this?
• When should I use this?
• Install
• Use
• API
  • smogFormula(counts)
• Types
• Compatibility
• Related
• Contribute
• Security
• License

What is this?

This package exposes an algorithm to detect ease of reading of English texts.

When should I use this?

You’re probably dealing with natural language, and know you need this, if you’re here!

This algorithm is based on syllables, whereas some others are not, which means it’s tougher to get right and slower to calculate.

See syllable for detecting syllables.

Install

This package is ESM only. In Node.js (version 14.14+, 16.0+), install with npm:

npm install smog-formula

In Deno with esm.sh:

import {smogFormula} from 'https://esm.sh/smog-formula@2'

In browsers with esm.sh:

<script type="module">
  import {smogFormula} from 'https://esm.sh/smog-formula@2?bundle'
</script>

Use

import {smogFormula} from 'smog-formula'

// For “The Australian platypus is seemingly a hybrid of a mammal and reptilian
// creature.” (1 sentence; 4 polysillabic words).
smogFormula({sentence: 1, polysillabicWord: 4})
// => 14.554593…

API

This package exports the identifier smogFormula. There is no default export.

smogFormula(counts)

Given an object containing the number of sentences (sentence) and the number of polysillabic (three or more syllables) words (polysillabicWord) in a document, returns the reading ease associated with the document.

counts

Counts from input document.

counts.sentence

Number of sentences (number, required).

counts.polysillabicWord

Number of polysillabic (three or more syllables) words (number, required).

Returns

Reading ease associated with the document (number).

Types

This package is fully typed with TypeScript. It exports the additional type Counts.

Compatibility

This package is at least compatible with all maintained versions of Node.js. As of now, that is Node.js 14.14+ and 16.0+. It also works in Deno and modern browsers.

Related

• automated-readability — uses character count instead of error-prone syllable parser
• coleman-liau — uses letter count instead of an error-prone syllable parser
• dale-chall-formula — uses a dictionary, suited for higher reading levels
• flesch — uses syllable count
• flesch-kincaid — like flesch, returns U.S. grade levels
• gunning-fog — uses syllable count, needs POS-tagging and NER
• spache-formula — uses a dictionary, suited for lower reading levels

Contribute

Yes please! See How to Contribute to Open Source.

Security

This package is safe.

License

MIT © Titus Wormer