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Regular expression for word boundaries but including emojis [duplicate]

I have a corpus of text that I'm parsing with a regular expression to find the most common words. Currently I'm using .match(/(?!'.*')\b\[\w'\]+\b/g). My problem is that \w does not match on non-alphanumeric characters and my emoji never get parsed. Specifically, I'm trying to make a regex that will identify words (including contractions) and emoji, separating on the word boundary.

As an example I'd like to be able to take "Hey there! πŸ‘‹, let's go to the moon πŸŒπŸš€" and get

Array( "Hey", "there", "πŸ‘‹", "let's", "go", "to", "the", "moon", "🌝", "πŸš€")
like image 833
tristansokol Avatar asked Mar 18 '18 19:03

tristansokol


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2 Answers

To work around it you may find spread operator helpful:

var str = "Hey there! πŸ‘‹, let's go to the moon πŸŒπŸš€";
var words = [], word = '';
[...str].forEach(function(char) {
  // Test if current char is an English letter, a digit or '
    if (/[a-z0-9']/i.test(char)) {
        word += char;
    }
    // Test if current char is a non-whitespce char out of ASCII
    else if (/(?=\S)[^\u0000-\u007f]/.test(char)) {
        words.push(char)
    } else if (word !== '') {
    // Add a word to words array
        words.push(word)
        word = '';
    }
})
console.log(words);
like image 186
revo Avatar answered Sep 27 '22 23:09

revo


With guidance from commenters, I was able to get the following pattern to work:

\b[\w']+\b|\uD83D(?:[\uDC76\uDC66\uDC67](?:\uD83C[\uDFFB-\uDFFF])?|\uDC68(?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:\u2695\uFE0F?|\uD83C[\uDF93\uDFEB\uDF3E\uDF73\uDFED\uDFA4\uDFA8]|\u2696\uFE0F?|\uD83D[\uDD27\uDCBC\uDD2C\uDCBB\uDE80\uDE92]|\u2708\uFE0F?|\uD83E[\uDDB0-\uDDB3]))?)|\u200D(?:\u2695\uFE0F?|\uD83C[\uDF93\uDFEB\uDF3E\uDF73\uDFED\uDFA4\uDFA8]|\u2696\uFE0F?|\uD83D(?:\uDC69\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|\uDC68\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|[\uDD27\uDCBC\uDD2C\uDCBB\uDE80\uDE92])|\u2708\uFE0F?|\uD83E[\uDDB0-\uDDB3]|\u2764(?:\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D\uDC68|\uDC68)|\u200D\uD83D(?:\uDC8B\u200D\uD83D\uDC68|\uDC68)))))?|\uDC69(?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:\u2695\uFE0F?|\uD83C[\uDF93\uDFEB\uDF3E\uDF73\uDFED\uDFA4\uDFA8]|\u2696\uFE0F?|\uD83D[\uDD27\uDCBC\uDD2C\uDCBB\uDE80\uDE92]|\u2708\uFE0F?|\uD83E[\uDDB0-\uDDB3]))?)|\u200D(?:\u2695\uFE0F?|\uD83C[\uDF93\uDFEB\uDF3E\uDF73\uDFED\uDFA4\uDFA8]|\u2696\uFE0F?|\uD83D(?:\uDC69\u200D\uD83D(?:\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?)|\uDC66(?:\u200D\uD83D\uDC66)?|\uDC67(?:\u200D\uD83D[\uDC66\uDC67])?|[\uDD27\uDCBC\uDD2C\uDCBB\uDE80\uDE92])|\u2708\uFE0F?|\uD83E[\uDDB0-\uDDB3]|\u2764(?:\uFE0F\u200D\uD83D(?:\uDC8B\u200D\uD83D[\uDC68\uDC69]|[\uDC68\uDC69])|\u200D\uD83D(?:\uDC8B\u200D\uD83D[\uDC68\uDC69]|[\uDC68\uDC69])))))?|[\uDC74\uDC75](?:\uD83C[\uDFFB-\uDFFF])?|\uDC6E(?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|\uDD75(?:(?:\uFE0F(?:\u200D(?:[\u2642\u2640]\uFE0F?))?|\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|[\uDC82\uDC77](?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|\uDC78(?:\uD83C[\uDFFB-\uDFFF])?|\uDC73(?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|\uDC72(?:\uD83C[\uDFFB-\uDFFF])?|\uDC71(?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|[\uDC70\uDC7C](?:\uD83C[\uDFFB-\uDFFF])?|[\uDE4D\uDE4E\uDE45\uDE46\uDC81\uDE4B\uDE47\uDC86\uDC87\uDEB6](?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|[\uDC83\uDD7A](?:\uD83C[\uDFFB-\uDFFF])?|\uDC6F(?:\u200D(?:[\u2642\u2640]\uFE0F?))?|[\uDEC0\uDECC](?:\uD83C[\uDFFB-\uDFFF])?|\uDD74(?:(?:\uD83C[\uDFFB-\uDFFF]|\uFE0F))?|\uDDE3\uFE0F?|[\uDEA3\uDEB4\uDEB5](?:(?:\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|[\uDCAA\uDC48\uDC49\uDC46\uDD95\uDC47\uDD96](?:\uD83C[\uDFFB-\uDFFF])?|\uDD90(?:(?:\uD83C[\uDFFB-\uDFFF]|\uFE0F))?|[\uDC4C-\uDC4E\uDC4A\uDC4B\uDC4F\uDC50\uDE4C\uDE4F\uDC85\uDC42\uDC43](?:\uD83C[\uDFFB-\uDFFF])?|\uDC41(?:(?:\uFE0F(?:\u200D\uD83D\uDDE8\uFE0F?)?|\u200D\uD83D\uDDE8\uFE0F?))?|[\uDDE8\uDDEF\uDD73\uDD76\uDECD\uDC3F\uDD4A\uDD77\uDD78\uDDFA\uDEE3\uDEE4\uDEE2\uDEF3\uDEE5\uDEE9\uDEF0\uDECE\uDD70\uDD79\uDDBC\uDDA5\uDDA8\uDDB1\uDDB2\uDCFD\uDD6F\uDDDE\uDDF3\uDD8B\uDD8A\uDD8C\uDD8D\uDDC2\uDDD2\uDDD3\uDD87\uDDC3\uDDC4\uDDD1\uDDDD\uDEE0\uDDE1\uDEE1\uDDDC\uDECF\uDECB\uDD49]\uFE0F?|[\uDE00-\uDE06\uDE09-\uDE0B\uDE0E\uDE0D\uDE18\uDE17\uDE19\uDE1A\uDE42\uDE10\uDE11\uDE36\uDE44\uDE0F\uDE23\uDE25\uDE2E\uDE2F\uDE2A\uDE2B\uDE34\uDE0C\uDE1B-\uDE1D\uDE12-\uDE15\uDE43\uDE32\uDE41\uDE16\uDE1E\uDE1F\uDE24\uDE22\uDE2D\uDE26-\uDE29\uDE2C\uDE30\uDE31\uDE33\uDE35\uDE21\uDE20\uDE37\uDE07\uDE08\uDC7F\uDC79\uDC7A\uDC80\uDC7B\uDC7D\uDC7E\uDCA9\uDE3A\uDE38\uDE39\uDE3B-\uDE3D\uDE40\uDE3F\uDE3E\uDE48-\uDE4A\uDC64\uDC65\uDC6B-\uDC6D\uDC8F\uDC91\uDC6A\uDC63\uDC40\uDC45\uDC44\uDC8B\uDC98\uDC93-\uDC97\uDC99-\uDC9C\uDDA4\uDC9D-\uDC9F\uDC8C\uDCA4\uDCA2\uDCA3\uDCA5\uDCA6\uDCA8\uDCAB-\uDCAD\uDC53-\uDC62\uDC51\uDC52\uDCFF\uDC84\uDC8D\uDC8E\uDC35\uDC12\uDC36\uDC15\uDC29\uDC3A\uDC31\uDC08\uDC2F\uDC05\uDC06\uDC34\uDC0E\uDC2E\uDC02-\uDC04\uDC37\uDC16\uDC17\uDC3D\uDC0F\uDC11\uDC10\uDC2A\uDC2B\uDC18\uDC2D\uDC01\uDC00\uDC39\uDC30\uDC07\uDC3B\uDC28\uDC3C\uDC3E\uDC14\uDC13\uDC23-\uDC27\uDC38\uDC0A\uDC22\uDC0D\uDC32\uDC09\uDC33\uDC0B\uDC2C\uDC1F-\uDC21\uDC19\uDC1A\uDC0C\uDC1B-\uDC1E\uDC90\uDCAE\uDD2A\uDDFE\uDDFB\uDC92\uDDFC\uDDFD\uDD4C\uDD4D\uDD4B\uDC88\uDE82-\uDE8A\uDE9D\uDE9E\uDE8B-\uDE8E\uDE90-\uDE9C\uDEB2\uDEF4\uDEF9\uDEF5\uDE8F\uDEA8\uDEA5\uDEA6\uDED1\uDEA7\uDEF6\uDEA4\uDEA2\uDEEB\uDEEC\uDCBA\uDE81\uDE9F-\uDEA1\uDE80\uDEF8\uDD5B\uDD67\uDD50\uDD5C\uDD51\uDD5D\uDD52\uDD5E\uDD53\uDD5F\uDD54\uDD60\uDD55\uDD61\uDD56\uDD62\uDD57\uDD63\uDD58\uDD64\uDD59\uDD65\uDD5A\uDD66\uDD25\uDCA7\uDEF7\uDD2E\uDD07-\uDD0A\uDCE2\uDCE3\uDCEF\uDD14\uDD15\uDCFB\uDCF1\uDCF2\uDCDE-\uDCE0\uDD0B\uDD0C\uDCBB\uDCBD-\uDCC0\uDCFA\uDCF7-\uDCF9\uDCFC\uDD0D\uDD0E\uDCA1\uDD26\uDCD4-\uDCDA\uDCD3\uDCD2\uDCC3\uDCDC\uDCC4\uDCF0\uDCD1\uDD16\uDCB0\uDCB4-\uDCB8\uDCB3\uDCB9\uDCB1\uDCB2\uDCE7-\uDCE9\uDCE4-\uDCE6\uDCEB\uDCE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F2D-\uDF2F\uDF73\uDF72\uDF7F\uDF71\uDF58-\uDF5D\uDF60\uDF62-\uDF65\uDF61\uDF66-\uDF6A\uDF82\uDF70\uDF6B-\uDF6F\uDF7C\uDF75\uDF76\uDF7E\uDF77-\uDF7B\uDF74\uDFFA\uDF0D-\uDF10\uDF0B\uDFE0-\uDFE6\uDFE8-\uDFED\uDFEF\uDFF0\uDF01\uDF03-\uDF07\uDF09\uDF0C\uDFA0-\uDFA2\uDFAA\uDF11-\uDF20\uDF00\uDF08\uDF02\uDF0A\uDF83\uDF84\uDF86-\uDF8B\uDF8D-\uDF91\uDF80\uDF81\uDFAB\uDFC6\uDFC5\uDFC0\uDFD0\uDFC8\uDFC9\uDFBE\uDFB3\uDFCF\uDFD1-\uDFD3\uDFF8\uDFA3\uDFBD\uDFBF\uDFAF\uDFB1\uDFAE\uDFB0\uDFB2\uDCCF\uDC04\uDFB4\uDFAD\uDFA8\uDFBC\uDFB5\uDFB6\uDFA4\uDFA7\uDFB7-\uDFBB\uDFA5\uDFAC\uDFEE\uDFF9\uDFE7\uDFA6\uDD8E\uDD91-\uDD9A\uDE01\uDE36\uDE2F\uDE50\uDE39\uDE1A\uDE32\uDE51\uDE38\uDE34\uDE33\uDE3A\uDE35\uDFC1\uDF8C])|\u26F7\uFE0F?|\u26F9(?:(?:\uFE0F(?:\u200D(?:[\u2642\u2640]\uFE0F?))?|\uD83C(?:[\uDFFB-\uDFFF](?:\u200D(?:[\u2642\u2640]\uFE0F?))?)|\u200D(?:[\u2642\u2640]\uFE0F?)))?|[\u261D\u270C](?:(?:\uD83C[\uDFFB-\uDFFF]|\uFE0F))?|[\u270B\u270A](?:\uD83C[\uDFFB-\uDFFF])?|\u270D(?:(?:\uD83C[\uDFFB-\uDFFF]|\uFE0F))?|[\u2764\u2763\u26D1\u2618\u26F0\u26E9\u2668\u26F4\u2708\u23F1\u23F2\u2600\u2601\u26C8\u2602\u26F1\u2744\u2603\u2604\u26F8\u2660\u2665\u2666\u2663\u260E\u2328\u2709\u270F\u2712\u2702\u26CF\u2692\u2694\u2699\u2696\u26D3\u2697\u26B0\u26B1\u26A0\u2622\u2623\u2B06\u2197\u27A1\u2198\u2B07\u2199\u2B05\u2196\u2195\u2194\u21A9\u21AA\u2934\u2935\u269B\u267E\u2721\u2638\u262F\u271D\u2626\u262A\u262E\u25B6\u23ED\u23EF\u25C0\u23EE\u23F8-\u23FA\u23CF\u2640\u2642\u2695\u267B\u269C\u2611\u2714\u2716\u303D\u2733\u2734\u2747\u203C\u2049\u3030\u00A9\u00AE\u2122]\uFE0F?|[\u0023\u002A\u0030-\u0039](?:\uFE0F\u20E3|\u20E3)|[\u2139\u24C2\u3297\u3299\u25AA\u25AB\u25FB\u25FC]\uFE0F?|[\u2615\u26EA\u26F2\u26FA\u26FD\u2693\u26F5\u231B\u23F3\u231A\u23F0\u2B50\u26C5\u2614\u26A1\u26C4\u2728\u26BD\u26BE\u26F3\u267F\u26D4\u2648-\u2653\u26CE\u23E9-\u23EC\u2B55\u2705\u274C\u274E\u2795-\u2797\u27B0\u27BF\u2753-\u2755\u2757\u25FD\u25FE\u2B1B\u2B1C\u26AA\u26AB]

which is basically word boundaries with all the emojis added in.

https://regex101.com/r/5rgYDx/3

like image 43
tristansokol Avatar answered Sep 28 '22 00:09

tristansokol