gatsby-remark-extract-keywords

Extract most important keywords from your content using Natural tf-idf. From their docs:

Term Frequency–Inverse Document Frequency (tf-idf) is implemented to determine how important a word (or words) is to a document relative to a corpus. The following formulas are used for calculating tf and idf:

• tf(t, d) is a so-called raw count, so just the count of the term in the document
• idf(t, D) uses the following formula: 1 + ln(N / (1 + n*t)) where N is the number of documents, and n_t the number of documents in which the term appears. The 1 + in the denominator is for handling the possibility that n_t is 0.

In our context, N is just 1, your page/post content.

Supports both MD and MDX format.

Table of Contents

• Installation
• Usage
  • blacklist option as function
• Options
• Contributors ✨

Installation

npm install --save gatsby-remark-extract-keywords

or

yarn add gatsby-remark-extract-keywords

It has gatsby as peerDependency.

Usage

In your gatsby-config.js:

plugins: [
    {
        resolve: `gatsby-transformer-remark`,
        options: {
            plugins: [`gatsby-remark-extract-keywords`],
        },
    },
];

This creates a new field on each MD/MDX node called keywords, you can use it on your GraphQL query:

query ListingQuery {
  allMarkdownRemark(sort: {fields: [frontmatter___date], order: DESC}) {
    edges {
      node {
        id
        frontmatter {
          title
        }
        fields {
          keywords
        }
      }
    }
  }
}

blacklist option as function

This will only return keywords with keyword length higher than 5.

const filterKeywords = term => term.length > 5;

plugins: [
    {
        resolve: `gatsby-transformer-remark`,
        options: {
            plugins: [
                {
                    resolve: `gatsby-remark-extract-keywords`,
                    options: {
                        blacklist: filterKeywords,
                    },
                },
            ],
        },
    },
];

Options

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Eduardo Reveles 💻 📖 🤔

This project follows the all-contributors specification. Contributions of any kind welcome!