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yoastseo-dep

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Yoast clientside page analysis

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[![Build Status](https://travis-ci.org/Yoast/YoastSEO.js.svg?branch=master)](https://travis-ci.org/Yoast/js-text-analysis) [![Build Status](https://travis-ci.org/Yoast/YoastSEO.js.svg?branch=master)](https://travis-ci.org/Yoast/js-text-analysis) [![Code Climate](https://codeclimate.com/repos/5524f75d69568028f6000fda/badges/f503961401819f93c64c/gpa.svg)](https://codeclimate.com/repos/5524f75d69568028f6000fda/feed) [![Test Coverage](https://codeclimate.com/repos/5524f75d69568028f6000fda/badges/f503961401819f93c64c/coverage.svg)](https://codeclimate.com/repos/5524f75d69568028f6000fda/coverage) [![Inline docs](http://inch-ci.org/github/yoast/yoastseo.js.svg?branch=master)](http://inch-ci.org/github/yoast/yoastseo.js) # YoastSEO.js Text analysis and assessment library in JavaScript. This library can generate interesting metrics about a text and assess these metrics to give you an assessment which can be used to improve the text. ![Screenshot of the assessment of the given text](/packages/yoastseo/images/assessments.png) Also included is a preview of the Google search results which can be assessed using the library. ## Documentation * A list of all the [assessors](src/scoring/ASSESSORS%20OVERVIEW.md) * Information on the [scoring system of the assessments](src/scoring/assessments/README.md) * [SEO analysis scoring](src/scoring/assessments/SCORING%20SEO.md) * [Readability analysis scoring](src/scoring/assessments/SCORING%20READABILITY.md) * [Inclusive language analysis scoring](src/scoring/assessments/SCORING%20INCLUSIVE%20LANGUAGE.md) * [How keyphrase matching works](src/scoring/assessments/KEYPHRASE%20MATCHING.md) * [Scoring on taxonomy pages](src/scoring/assessments/SCORING%20TAXONOMY.md) * The data that will be analyzed by YoastSEO.js can be modified by plugins. Plugins can also add new research and assessments. To find out how to do this, checkout out the [customization documentation](./docs/Customization.md). * Information on the design decisions within the package can be found [here](DESIGN%20DECISIONS.md). * Information on how morphology works in `yoastseo` package can be found [here](MORPHOLOGY.md). ## Installation You can install YoastSEO.js using npm: ```bash npm install yoastseo ``` Or using yarn: ```bash yarn add yoastseo ``` ## Usage You can either use YoastSEO.js using the web worker API or use the internal components directly. Because a web worker must be a separate script in the browser you first need to create a script for inside the web worker: ```js import { AnalysisWebWorker } from "yoastseo-dep"; const worker = new AnalysisWebWorker( self ); worker.register(); ``` Then in a different script you have the following code: ```js import { AnalysisWorkerWrapper, createWorker, Paper } from "yoastseo-dep"; // `url` needs to be the full URL to the script for the browser to know where to load the worker script from. // This should be the script created by the previous code-snippet. const url = "https://my-site-url.com/path-to-webworker-script.js" const worker = new AnalysisWorkerWrapper( createWorker( url ) ); worker.initialize( { locale: "en_US", contentAnalysisActive: true, keywordAnalysisActive: true, logLevel: "ERROR", } ).then( () => { // The worker has been configured, we can now analyze a Paper. const paper = new Paper( "Text to analyze", { keyword: "analyze", } ); return worker.analyze( paper ); } ).then( ( results ) => { console.log( 'Analysis results:' ); console.log( results ); } ).catch( ( error ) => { console.error( 'An error occured while analyzing the text:' ); console.error( error ); } ); ``` ### Usage of internal components If you want to have a more barebones API, or are in an environment without access to Web Worker you can use the internal objects: ```js import { AbstractResearcher, Paper } from "yoastseo-dep"; const paper = new Paper( "Text to analyze", { keyword: "analyze", } ); const researcher = new AbstractResearcher( paper ); console.log( researcher.getResearch( "wordCountInText" ) ); ``` **Note: This is currently a synchronous API, but will become an asynchronous API in the future.** ## Supported languages ### SEO analysis **Function word support**, which is used for internal linking, insights, and keyphrase-related analysis, is available in the following languages: English, German, Dutch, French, Spanish, Italian, Portuguese, Russian, Polish, Swedish, Hungarian, Indonesian, Arabic, Hebrew, Farsi, Turkish, Norwegian, Czech, Slovak, Greek, Japanese ### Readability analysis | Language | Transition words | Flesch reading ease | Passive voice | Sentence beginnings | Sentence length<sup>1</sup> | |------------ |------------------ |--------------------- |--------------- |--------------------- |----------------------------- | | English | ✅ | ✅ | ✅ | ✅ | ✅ | | German | ✅ | ✅ | ✅ | ✅ | ✅ | | Dutch | ✅ | ✅ | ✅ | ✅ | ✅ | | French | ✅ | ✅ | ✅ | ✅ | ✅ | | Spanish | ✅ | ✅ | ✅ | ✅ | ✅ | | Italian | ✅ | ✅ | ✅ | ✅ | ✅ | | Portuguese | ✅ | ✅ | ✅ | ✅ | ✅ | | Russian | ✅ | ✅ | ✅ | ✅ | ✅ | | Catalan | ✅ | ❌<sup>3</sup> | ❌<sup>3</sup> | ❌<sup>3</sup> | ❌<sup>3</sup> | | Polish | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Swedish | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Hungarian | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Indonesian | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Arabic | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Hebrew | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Farsi | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Turkish | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Norwegian | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Czech | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Slovak | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Greek | ✅ | ❌<sup>2</sup> | ✅ | ✅ | ✅ | | Japanese | ✅ | ❌<sup>2</sup> | ❌<sup>4</sup> | ✅ | ✅ | <sup>1</sup> This means the default upper limit of 20 words has been verified for this language, or the upper limit has been changed. <sup>2</sup> There is no existing Flesch reading ease formula for these languages. <sup>3</sup> This means that the functionality for this assessment is currently not available for these languages. <sup>4</sup> The Passive voice check for Japanese is not implemented since the structure is the same as the potential form and can additionally be used for an honorific purpose. Identifying whether a verb is in its passive, honorific or potential form is problematic without contextual information. The following readability assessments are available for all languages: - sentence length (with a default upper limit of 20 words, see<sup>1</sup> above ) - paragraph length - subheading distribution ### Inclusive language analysis The inclusive language analysis is currently available in English. ## Change log Please see [CHANGELOG](CHANGELOG.md) for more information what has changed recently. ## Testing ```bash npm test ``` Generate coverage using the `--coverage` flag. ## Code style To test your code style: ```bash grunt check ``` ## Testing with Yoast SEO In the YoastSEO.js directory, run: ```bash npm link ``` Then, in the [Yoast SEO](https://github.com/Yoast/wordpress-seo) directory, assuming you have a complete development version, run: ```bash npm link yoastseo ``` If you want to unlink, simply do: ```bash npm unlink yoastseo ``` ## Contributing Please see [CONTRIBUTING](.github/CONTRIBUTING.md) for details. ## Security If you discover any security related issues, please email security [at] yoast.com instead of using the issue tracker. ## Credits - [Team Yoast](https://github.com/orgs/Yoast/people) - [All Contributors](https://github.com/Yoast/YoastSEO.js/graphs/contributors) ## License We follow the GPL. Please see [License](LICENSE) file for more information.