😄 Emoji synonyms to build your own emoji-capable search engine (elasticsearch, solr)
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Emoji, flags and emoticons support for Elasticsearch

Add support for emoji and flags in any Lucene compatible search engine!

If you wish to search 🍩 to find donuts in your documents, you came to the right place.

For Elasticsearch version inferior to 6.4, please go to the plugin section.

The Synonyms, flags and emoticons

Once you have a 🍩 token, you need to expand it to the token "donut", in your language. That's the goal of the synonym dictionaries.

We build Solr / Lucene compatible synonyms files in all languages supported by Unicode CLDR so you can set them up in an analyzer. It looks like this:

👩‍🚒 => 👩‍🚒, firefighter, firetruck, woman
👩‍✈ => 👩‍✈, pilot, plane, woman
🥓 => 🥓, bacon, meat, food
🥔 => 🥔, potato, vegetable, food
😅 => 😅, cold, face, open, smile, sweat
😆 => 😆, face, laugh, mouth, open, satisfied, smile
🚎 => 🚎, bus, tram, trolley
🇫🇷 => 🇫🇷, france
🇬🇧 => 🇬🇧, united kingdom

For emoticons, use this mapping with a char_filter to replace emoticons by emoji.

Learn more about this in our blog post describing how to search with emoji in Elasticsearch (2016).

Getting started

Download the emoji and emoticon file you want from this repository and store them in PATH_ES/config/analysis.

├── analysis
│   ├── cldr-emoji-annotation-synonyms-en.txt
│   └── emoticons.txt
├── elasticsearch.yml

Use them like this:

PUT /en-emoji
  "settings": {
    "analysis": {
      "char_filter": {
        "emoticons_char_filter": {
          "type": "mapping",
          "mappings_path": "analysis/emoticons.txt"
      "filter": {
        "english_emoji": {
          "type": "synonym",
          "synonyms_path": "analysis/cldr-emoji-annotation-synonyms-en.txt" 

How to contribute

Build from CLDR SVN

You will need:

  • php cli
  • php zip and curl extensions

Edit the tag in tools/build-released.php and run php tools/build-released.php.

Update emoticons

Run php tools/build-emoticon.php.


Emoji data courtesy of CLDR. See unicode-license.txt for details. Some modifications are done on the data, see here. Emoticon data based on https://github.com/wooorm/emoticon/ (MIT).

This repository in distributed under MIT License. Feel free to use and contribute as you please!