Breaking change in words-n-numbers: Extracting single emojis instead of emoji words

The change in words-n-number is as follows:

No more "words" formed by several emojis. This because each emoji in a sense are words. Will also work better with search engines as each can be used as a filter if you have an emoji facet to filter on.

So instead of:

cons stringOfWords = 'A ticket to 大阪 costs ¥2000 👌😄 😢'
extract(stringOfWords, { regex: emojis})
// ['👌😄', '😢']

...you will get:

cons stringOfWords = 'A ticket to 大阪 costs ¥2000 👌😄 😢'
extract(stringOfWords, { regex: emojis})
// ['👌', '😄', '😢']

New test framework + more transparent functions

• Swapped from Webpack to Batr (rollup + playwright + AvaJS)
• Builds CJS, ESM and UMD
• Exposes functions from dependencies directly. For UMD they are all available under dqp

Full Changelog: v6.0.0...v7.0.1

email extraction

• Email extraction + improved document processor demo
• Better query processor demo

More robust document processor demo

#192

Fixing both demos

Both document processor (was buggy) and query processor (didn't work at all) are now working again.

Emoji, tags and username extraction + bug-fixes / security issues

• wnn now Extracts emojis + tags + usernames
• Builds with Webpack v5
• Version bump for cheerio to remove some security issues
• Removing some devDep security issues

Demo w/ fuzzy matching

You can choose to turn the fuzzy matching on/off in the demo

Adding leven-match, replacing leven

leven-match is used for fuzzy matching (query, autosuggest and hit-highlighting)

Upgraded hit-highlighter

A lot more versatile and robust hit-highlighter (v2.0.1). Easier to make work well on any text.

security update

Updating devDependencies and dependencies to latest. Only affects test, not distribution.