├── .github └── FUNDING.yml ├── .gitignore ├── LICENCE.txt ├── README.md ├── SUMMARY.md ├── composer.json └── src ├── Analyzer.php ├── Config └── Config.php ├── Lexicons ├── emoji_utf8_lexicon.txt └── vader_sentiment_lexicon.txt └── Procedures └── SentiText.php /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2] 4 | patreon: # Replace with a single Patreon username 5 | open_collective: # Replace with a single Open Collective username 6 | ko_fi: # Replace with a single Ko-fi username 7 | tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel 8 | community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry 9 | liberapay: # Replace with a single Liberapay username 10 | issuehunt: # Replace with a single IssueHunt username 11 | otechie: # Replace with a single Otechie username 12 | lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry 13 | custom: ['https://www.buymeacoffee.com/iamdavidoti'] 14 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | /vendor 2 | /debug 3 | /working 4 | /.vagrant 5 | /.phpspec 6 | /bin 7 | /tests/report 8 | /ansible 9 | /.idea 10 | composer.phar 11 | composer.lock 12 | vagrant_ansible_inventory_default 13 | Vagrantfile 14 | .DS_Store -------------------------------------------------------------------------------- /LICENCE.txt: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2014 David Oti 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # PHP Sentiment Analyzer 2 | 3 | PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool that is used to understand sentiments in a sentence using VADER \(Valence Aware Dictionary and sentiment Reasoner\). 4 | 5 | [![GitHub license](https://img.shields.io/github/license/davmixcool/php-sentiment-analyzer.svg)](https://github.com/davmixcool/php-sentiment-analyzer/blob/master/LICENSE) [![GitHub issues](https://img.shields.io/github/issues/davmixcool/php-sentiment-analyzer.svg)](https://github.com/davmixcool/php-sentiment-analyzer/issues) [![Stable](https://poser.pugx.org/davmixcool/php-sentiment-analyzer/v/stable.svg)](https://poser.pugx.org/davmixcool/php-sentiment-analyzer/v/stable.svg) [![Download](https://poser.pugx.org/davmixcool/php-sentiment-analyzer/d/total.svg)](https://poser.pugx.org/davmixcool/php-sentiment-analyzer/d/total.svg) [![Twitter](https://img.shields.io/twitter/url/https/github.com/davmixcool/php-sentiment-analyzer.svg?style=social)](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2Fdavmixcool%2Fphp-sentiment-analyzer) 6 | 7 | ## Features 8 | 9 | * Text 10 | * Emoticon 11 | * Emoji 12 | 13 | ## Requirements 14 | 15 | * PHP 5.5 and above 16 | 17 | ## Steps: 18 | 19 | * [Install](./#install) 20 | * [Usage](./#usage) 21 | * [Stargazers](./#stargazers) 22 | * [Forkers](./#forkers) 23 | * [License](./#license) 24 | * [Reference](./#reference) 25 | 26 | ### Install 27 | 28 | **Composer** 29 | 30 | Run the following to include this via Composer 31 | 32 | ```text 33 | composer require davmixcool/php-sentiment-analyzer 34 | ``` 35 | 36 | ### Simple Usage 37 | 38 | ```php 39 | Use Sentiment\Analyzer; 40 | $analyzer = new Analyzer(); 41 | 42 | $output_text = $analyzer->getSentiment("David is smart, handsome, and funny."); 43 | 44 | $output_emoji = $analyzer->getSentiment("😁"); 45 | 46 | $output_text_with_emoji = $analyzer->getSentiment("Aproko doctor made me 🤣."); 47 | 48 | print_r($output_text); 49 | print_r($output_emoji); 50 | print_r($output_text_with_emoji); 51 | ``` 52 | 53 | ### Simple Outputs 54 | 55 | ```text 56 | David is smart, handsome, and funny. ---------------- ['neg'=> 0.0, 'neu'=> 0.337, 'pos'=> 0.663, 'compound'=> 0.7096] 57 | 58 | 😁 ------------------- ['neg' => 0, 'neu' => 0.5, 'pos' => 0.5, 'compound' => 0.4588] 59 | 60 | Aproko doctor made me 🤣 ------------- ['neg' => 0, 'neu' => 0.714, 'pos' => 0.286, 'compound' => 0.4939] 61 | ``` 62 | 63 | ### Advanced Usage 64 | 65 | You can now dynamically update the VADER \(Valence\) lexicon on the fly for words that are not in the dictionary. See the Example below: 66 | 67 | ```php 68 | Use Sentiment\Analyzer; 69 | 70 | $sentiment = new Sentiment\Analyzer(); 71 | 72 | $strings = [ 73 | 'Weather today is rubbish', 74 | 'This cake looks amazing', 75 | 'His skills are mediocre', 76 | 'He is very talented', 77 | 'She is seemingly very agressive', 78 | 'Marie was enthusiastic about the upcoming trip. Her brother was also passionate about her leaving - he would finally have the house for himself.', 79 | 'To be or not to be?', 80 | ]; 81 | 82 | //new words not in the dictionary 83 | $newWords = [ 84 | 'rubbish'=> '-1.5', 85 | 'mediocre' => '-1.0', 86 | 'agressive' => '-0.5' 87 | ]; 88 | 89 | //Dynamically update the dictionary with the new words 90 | $sentiment->updateLexicon($newWords); 91 | 92 | //Print results 93 | foreach ($strings as $string) { 94 | // calculations: 95 | $scores = $sentiment->getSentiment($string); 96 | // output: 97 | echo "String: $string\n"; 98 | print_r(json_encode($scores)); 99 | echo "
"; 100 | } 101 | ``` 102 | 103 | ### Advanced Outputs 104 | 105 | ```text 106 | Weather today is rubbish ------------- {"neg":0.455,"neu":0.545,"pos":0,"compound":-0.3612} 107 | 108 | This cake looks amazing ------------- {"neg":0,"neu":0.441,"pos":0.559,"compound":0.5859} 109 | 110 | His skills are mediocre ------------- {"neg":0.4,"neu":0.6,"pos":0,"compound":-0.25} 111 | 112 | He is very talented ------------- {"neg":0,"neu":0.457,"pos":0.543,"compound":0.552} 113 | 114 | She is seemingly very agressive ------------- {"neg":0.338,"neu":0.662,"pos":0,"compound":-0.2598} 115 | 116 | Marie was enthusiastic about the upcoming trip. Her brother was also passionate about her leaving - he would finally have the house for himself. ------------- {"neg":0,"neu":0.761,"pos":0.239,"compound":0.765} 117 | 118 | String: To be or not to be? ------------- {"neg":0,"neu":1,"pos":0,"compound":0} 119 | ``` 120 | 121 | ### Stargazers 122 | 123 | [![Stargazers repo roster for @davmixcool/php-sentiment-analyzer](https://reporoster.com/stars/davmixcool/php-sentiment-analyzer)](https://github.com/davmixcool/php-sentiment-analyzer/stargazers) 124 | 125 | ### Forkers 126 | 127 | [![Forkers repo roster for @davmixcool/php-sentiment-analyzer](https://reporoster.com/forks/davmixcool/php-sentiment-analyzer)](https://github.com/davmixcool/php-sentiment-analyzer/network/members) 128 | 129 | ### License 130 | 131 | This package is licensed under the [MIT license](https://github.com/davmixcool/php-sentiment-analyzer/blob/master/LICENSE). 132 | 133 | ### Reference 134 | 135 | Hutto, C.J. & Gilbert, E.E. \(2014\). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media \(ICWSM-14\). Ann Arbor, MI, June 2014. 136 | 137 | -------------------------------------------------------------------------------- /SUMMARY.md: -------------------------------------------------------------------------------- 1 | # Table of contents 2 | 3 | * [PHP Sentiment Analyzer](README.md) 4 | 5 | -------------------------------------------------------------------------------- /composer.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "davmixcool/php-sentiment-analyzer", 3 | "type": "library", 4 | "description": "PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool that is used to understand sentiments in a sentence using VADER (Valence Aware Dictionary and sentiment Reasoner).", 5 | "keywords": ["NLP","Sentiment Analyzer","Deep Learning","Machine Learning","AI","Social","PHP"], 6 | "homepage": "https://github.com/davmixcool/php-sentiment-analyzer", 7 | "license": "MIT", 8 | "authors": [ 9 | { 10 | "name": "David Oti", 11 | "email": "davmixcool@gmail.com", 12 | "role": "Software Developer" 13 | } 14 | ], 15 | "require": { 16 | "php": ">=5.5.9" 17 | }, 18 | "autoload": { 19 | "psr-4": { 20 | "Sentiment\\": "src/" 21 | } 22 | }, 23 | "autoload-dev": { 24 | "psr-4": { 25 | "Sentiment\\Tests\\": "tests/" 26 | } 27 | } 28 | } -------------------------------------------------------------------------------- /src/Analyzer.php: -------------------------------------------------------------------------------- 1 | lexicon_file = __DIR__ . DIRECTORY_SEPARATOR . $lexicon_file; 23 | $this->lexicon = $this->make_lex_dict(); 24 | 25 | $this->emoji_lexicon = __DIR__ . DIRECTORY_SEPARATOR .$emoji_lexicon; 26 | 27 | $this->emojis = $this->make_emoji_dict(); 28 | } 29 | 30 | /* 31 | Determine if input contains negation words 32 | */ 33 | public function IsNegated($wordToTest, $include_nt = true) 34 | { 35 | $wordToTest = strtolower($wordToTest); 36 | if (in_array($wordToTest, Config::NEGATE)) { 37 | return true; 38 | } 39 | 40 | if ($include_nt) { 41 | if (strpos($wordToTest, "n't")) { 42 | return true; 43 | } 44 | } 45 | 46 | return false; 47 | } 48 | 49 | /* 50 | Convert lexicon file to a dictionary 51 | */ 52 | public function make_lex_dict() 53 | { 54 | $lex_dict = []; 55 | $fp = fopen($this->lexicon_file, "r"); 56 | if (!$fp) { 57 | die("Cannot load lexicon file"); 58 | } 59 | 60 | while (($line = fgets($fp, 4096)) !== false) { 61 | list($word, $measure) = explode("\t", trim($line)); 62 | //.strip().split('\t')[0:2] 63 | $lex_dict[$word] = $measure; 64 | //lex_dict[word] = float(measure) 65 | } 66 | 67 | return $lex_dict; 68 | } 69 | 70 | 71 | public function make_emoji_dict() { 72 | $emoji_dict = []; 73 | $fp = fopen($this->emoji_lexicon, "r"); 74 | if (!$fp) { 75 | die("Cannot load emoji lexicon file"); 76 | } 77 | 78 | while (($line = fgets($fp, 4096)) !== false) { 79 | list($emoji, $description) = explode("\t", trim($line)); 80 | //.strip().split('\t')[0:2] 81 | $emoji_dict[$emoji] = $description; 82 | //lex_dict[word] = float(measure) 83 | } 84 | return $emoji_dict; 85 | } 86 | 87 | public function updateLexicon($arr) 88 | { 89 | if(!is_array($arr)) return []; 90 | $lexicon = []; 91 | foreach ($arr as $word => $valence) { 92 | $this->lexicon[strtolower($word)] = is_numeric($valence)? $valence : 0; 93 | } 94 | } 95 | 96 | private function IsKindOf($firstWord, $secondWord) 97 | { 98 | return "kind" === strtolower($firstWord) && "of" === strtolower($secondWord); 99 | } 100 | 101 | private function IsBoosterWord($word) 102 | { 103 | return array_key_exists(strtolower($word), Config::BOOSTER_DICT); 104 | } 105 | 106 | private function getBoosterScaler($word) 107 | { 108 | return Config::BOOSTER_DICT[strtolower($word)]; 109 | } 110 | 111 | private function IsInLexicon($word) 112 | { 113 | $lowercase = strtolower($word); 114 | 115 | return array_key_exists($lowercase, $this->lexicon); 116 | } 117 | 118 | private function IsUpperCaseWord($word) 119 | { 120 | return ctype_upper($word); 121 | } 122 | 123 | private function getValenceFromLexicon($word) 124 | { 125 | return $this->lexicon[strtolower($word)]; 126 | } 127 | 128 | private function getTargetWordFromContext($wordInContext) 129 | { 130 | return $wordInContext[count($wordInContext)-1]; 131 | } 132 | 133 | /* 134 | Gets the precedding two words to check for emphasis 135 | */ 136 | private function getWordInContext($wordList, $currentWordPosition) 137 | { 138 | $precedingWordList =[]; 139 | 140 | //push the actual word on to the context list 141 | array_unshift($precedingWordList, $wordList[$currentWordPosition]); 142 | //If the word position is greater than 2 then we know we are not going to overflow 143 | if (($currentWordPosition-1)>=0) { 144 | array_unshift($precedingWordList, $wordList[$currentWordPosition-1]); 145 | } else { 146 | array_unshift($precedingWordList, ""); 147 | } 148 | 149 | if (($currentWordPosition-2)>=0) { 150 | array_unshift($precedingWordList, $wordList[$currentWordPosition-2]); 151 | } else { 152 | array_unshift($precedingWordList, ""); 153 | } 154 | 155 | if (($currentWordPosition-3)>=0) { 156 | array_unshift($precedingWordList, $wordList[$currentWordPosition-3]); 157 | } else { 158 | array_unshift($precedingWordList, ""); 159 | } 160 | 161 | return $precedingWordList; 162 | } 163 | 164 | /* 165 | Return a float for sentiment strength based on the input text. 166 | Positive values are positive valence, negative value are negative 167 | valence. 168 | */ 169 | public function getSentiment($text) 170 | { 171 | 172 | $text_no_emoji = ''; 173 | $prev_space = true; 174 | 175 | foreach($this->str_split_unicode($text) as $unichr ) { 176 | if (array_key_exists($unichr, $this->emojis)) { 177 | $description = $this->emojis[$unichr]; 178 | if (!($prev_space)) { 179 | $text_no_emoji .= ' '; 180 | } 181 | $text_no_emoji .= $description; 182 | $prev_space = false; 183 | } 184 | else { 185 | $text_no_emoji .= $unichr; 186 | $prev_space = ($unichr == ' '); 187 | } 188 | } 189 | $text = trim($text_no_emoji); 190 | 191 | $this->current_sentitext = new SentiText($text); 192 | 193 | $sentiments = []; 194 | $words_and_emoticons = $this->current_sentitext->words_and_emoticons; 195 | 196 | for ($i=0; $i<=count($words_and_emoticons)-1; $i++) { 197 | $valence = 0.0; 198 | $wordBeingTested = $words_and_emoticons[$i]; 199 | 200 | //If this is a booster word add a 0 valances then go to next word as it does not express sentiment directly 201 | /* if ($this->IsBoosterWord($wordBeingTested)){ 202 | echo "\t\tThe word is a booster word: setting sentiment to 0.0\n"; 203 | }*/ 204 | //var_dump($i); 205 | //If the word is not in the Lexicon then it does not express sentiment. So just ignore it. 206 | if ($this->IsInLexicon($wordBeingTested)) { 207 | 208 | //Special case because kind is in the lexicon so the modifier kind of needs to be skipped 209 | if ("kind" !=$words_and_emoticons[$i] && "of" != $words_and_emoticons[$i]) { 210 | $valence = $this->getValenceFromLexicon($wordBeingTested); 211 | 212 | $wordInContext = $this->getWordInContext($words_and_emoticons, $i); 213 | //If we are here then we have a word that enhance booster words 214 | $valence = $this->adjustBoosterSentiment($wordInContext, $valence); 215 | } 216 | } 217 | array_push($sentiments, $valence); 218 | } 219 | //Once we have a sentiment for each word adjust the sentimest if but is present 220 | $sentiments = $this->_but_check($words_and_emoticons, $sentiments); 221 | 222 | return $this->score_valence($sentiments, $text); 223 | } 224 | 225 | 226 | private function str_split_unicode($str, $l = 0) { 227 | if ($l > 0) { 228 | $ret = array(); 229 | $len = mb_strlen($str, "UTF-8"); 230 | for ($i = 0; $i < $len; $i += $l) { 231 | $ret[] = mb_substr($str, $i, $l, "UTF-8"); 232 | } 233 | return $ret; 234 | } 235 | return preg_split("//u", $str, -1, PREG_SPLIT_NO_EMPTY); 236 | } 237 | 238 | 239 | private function applyValenceCapsBoost($targetWord, $valence) 240 | { 241 | if ($this->IsUpperCaseWord($targetWord) && $this->current_sentitext->is_cap_diff) { 242 | if ($valence > 0) { 243 | $valence += Config::C_INCR; 244 | } else { 245 | $valence -= Config::C_INCR; 246 | } 247 | } 248 | 249 | return $valence; 250 | } 251 | 252 | /* 253 | Check if the preceding words increase, decrease, or negate/nullify the 254 | valence 255 | */ 256 | private function boosterScaleAdjustment($word, $valence) 257 | { 258 | $scalar = 0.0; 259 | if (!$this->IsBoosterWord($word)) { 260 | return $scalar; 261 | } 262 | 263 | $scalar = $this->getBoosterScaler($word); 264 | 265 | if ($valence < 0) { 266 | $scalar *= -1; 267 | } 268 | //check if booster/dampener word is in ALLCAPS (while others aren't) 269 | $scalar = $this->applyValenceCapsBoost($word, $scalar); 270 | 271 | return $scalar; 272 | } 273 | 274 | // dampen the scalar modifier of preceding words and emoticons 275 | // (excluding the ones that immediately preceed the item) based 276 | // on their distance from the current item. 277 | private function dampendBoosterScalerByPosition($booster, $position) 278 | { 279 | if (0===$booster) { 280 | return $booster; 281 | } 282 | 283 | if (1==$position) { 284 | return $booster*0.95; 285 | } 286 | 287 | if (2==$position) { 288 | return $booster*0.9; 289 | } 290 | 291 | return $booster; 292 | } 293 | 294 | private function adjustBoosterSentiment($wordInContext, $valence) 295 | { 296 | //The target word is always the last word 297 | $targetWord = $this->getTargetWordFromContext($wordInContext); 298 | 299 | //check if sentiment laden word is in ALL CAPS (while others aren't) and apply booster 300 | $valence = $this->applyValenceCapsBoost($targetWord, $valence); 301 | 302 | $valence = $this->modifyValenceBasedOnContext($wordInContext, $valence); 303 | 304 | return $valence; 305 | } 306 | 307 | private function modifyValenceBasedOnContext($wordInContext, $valence) 308 | { 309 | $wordToTest = $this->getTargetWordFromContext($wordInContext); 310 | //if($this->IsInLexicon($wordToTest)){ 311 | // continue; 312 | //} 313 | for ($i=0; $iboosterScaleAdjustment($wordInContext[$i], $valence); 315 | $scalarValue = $this->dampendBoosterScalerByPosition($scalarValue, $i); 316 | $valence = $valence+$scalarValue; 317 | } 318 | 319 | $valence = $this->_never_check($wordInContext, $valence); 320 | 321 | $valence = $this->_idioms_check($wordInContext, $valence); 322 | 323 | // future work: consider other sentiment-laden idioms 324 | // other_idioms = 325 | // {"back handed": -2, "blow smoke": -2, "blowing smoke": -2, 326 | // "upper hand": 1, "break a leg": 2, 327 | // "cooking with gas": 2, "in the black": 2, "in the red": -2, 328 | // "on the ball": 2,"under the weather": -2} 329 | 330 | $valence = $this->_least_check($wordInContext, $valence); 331 | 332 | return $valence; 333 | } 334 | 335 | public function _least_check($wordInContext, $valence) 336 | { 337 | // check for negation case using "least" 338 | //if the previous word is least" 339 | if (strtolower($wordInContext[2]) == "least") { 340 | //but not "at least {word}" "very least {word}" 341 | if (strtolower($wordInContext[1]) != "at" && strtolower($wordInContext[1]) != "very") { 342 | $valence = $valence*Config::N_SCALAR; 343 | } 344 | } 345 | 346 | return $valence; 347 | } 348 | 349 | public function _but_check($words_and_emoticons, $sentiments) 350 | { 351 | // check for modification in sentiment due to contrastive conjunction 'but' 352 | $bi = array_search("but", $words_and_emoticons); 353 | if (!$bi) { 354 | $bi = array_search("BUT", $words_and_emoticons); 355 | } 356 | if ($bi) { 357 | for ($si=0; $si$bi) { 361 | $sentiments[$si] = $sentiments[$si]*1.5; 362 | } 363 | } 364 | } 365 | 366 | return $sentiments; 367 | } 368 | 369 | public function _idioms_check($wordInContext, $valence) 370 | { 371 | $onezero = sprintf("%s %s", $wordInContext[2], $wordInContext[3]); 372 | 373 | $twoonezero = sprintf("%s %s %s", $wordInContext[1], $wordInContext[2], $wordInContext[3]); 374 | 375 | $twoone = sprintf("%s %s", $wordInContext[1], $wordInContext[2]); 376 | 377 | $threetwoone = sprintf("%s %s %s", $wordInContext[0], $wordInContext[1], $wordInContext[2]); 378 | 379 | $threetwo = sprintf("%s %s", $wordInContext[0], $wordInContext[1]); 380 | 381 | $zeroone = sprintf("%s %s", $wordInContext[3], $wordInContext[2]); 382 | 383 | $zeroonetwo = sprintf("%s %s %s", $wordInContext[3], $wordInContext[2], $wordInContext[1]); 384 | 385 | $sequences = [$onezero, $twoonezero, $twoone, $threetwoone, $threetwo]; 386 | 387 | foreach ($sequences as $seq) { 388 | $key = strtolower($seq); 389 | if (array_key_exists($key, Config::SPECIAL_CASE_IDIOMS)) { 390 | $valence = Config::SPECIAL_CASE_IDIOMS[$key]; 391 | break; 392 | } 393 | 394 | /* 395 | Positive idioms check. Not implementing it yet 396 | if(count($words_and_emoticons)-1 > $i){ 397 | $zeroone = sprintf("%s %s",$words_and_emoticons[$i], $words_and_emoticons[$i+1]); 398 | if (in_array($zeroone, Config::SPECIAL_CASE_IDIOMS)){ 399 | $valence = Config::SPECIAL_CASE_IDIOMS[$zeroone]; 400 | } 401 | } 402 | if(count($words_and_emoticons)-1 > $i+1){ 403 | $zeroonetwo = sprintf("%s %s %s",$words_and_emoticons[$i], $words_and_emoticons[$i+1], $words_and_emoticons[$i+2]); 404 | if (in_array($zeroonetwo, Config::SPECIAL_CASE_IDIOMS)){ 405 | $valence = Config::SPECIAL_CASE_IDIOMS[$zeroonetwo]; 406 | } 407 | } 408 | */ 409 | 410 | // check for booster/dampener bi-grams such as 'sort of' or 'kind of' 411 | if ($this->IsBoosterWord($threetwo) || $this->IsBoosterWord($twoone)) { 412 | $valence = $valence+Config::B_DECR; 413 | } 414 | } 415 | 416 | return $valence; 417 | } 418 | 419 | public function _never_check($wordInContext, $valance) 420 | { 421 | //If the sentiment word is preceded by never so/this we apply a modifier 422 | $neverModifier = 0; 423 | if ("never" == $wordInContext[0]) { 424 | $neverModifier = 1.25; 425 | } else if ("never" == $wordInContext[1]) { 426 | $neverModifier = 1.5; 427 | } 428 | if ("so" == $wordInContext[1] || "so"== $wordInContext[2] || "this" == $wordInContext[1] || "this" == $wordInContext[2]) { 429 | $valance *= $neverModifier; 430 | } 431 | 432 | //if any of the words in context are negated words apply negative scaler 433 | foreach ($wordInContext as $wordToCheck) { 434 | if ($this->IsNegated($wordToCheck)) { 435 | $valance *= Config::B_DECR; 436 | } 437 | } 438 | 439 | return $valance; 440 | } 441 | 442 | public function _sentiment_laden_idioms_check($valence, $senti_text_lower){ 443 | # Future Work 444 | # check for sentiment laden idioms that don't contain a lexicon word 445 | $idioms_valences = []; 446 | foreach (Config::SENTIMENT_LADEN_IDIOMS as $idiom) { 447 | if(in_array($idiom, $senti_text_lower)){ 448 | //print($idiom, $senti_text_lower) 449 | $valence = Config::SENTIMENT_LADEN_IDIOMS[$idiom]; 450 | $idioms_valences[] = $valence; 451 | } 452 | } 453 | 454 | if ((strlen($idioms_valences) > 0)) { 455 | $valence = ( array_sum( explode( ',', $idioms_valences ) ) / floatval(strlen($idioms_valences))); 456 | } 457 | return $valence; 458 | } 459 | 460 | public function _punctuation_emphasis($sum_s, $text) 461 | { 462 | // add emphasis from exclamation points and question marks 463 | $ep_amplifier = $this->_amplify_ep($text); 464 | $qm_amplifier = $this->_amplify_qm($text); 465 | $punct_emph_amplifier = $ep_amplifier+$qm_amplifier; 466 | 467 | return $punct_emph_amplifier; 468 | } 469 | 470 | public function _amplify_ep($text) 471 | { 472 | // check for added emphasis resulting from exclamation points (up to 4 of them) 473 | $ep_count = substr_count($text, "!"); 474 | if ($ep_count > 4) { 475 | $ep_count = 4; 476 | } 477 | # (empirically derived mean sentiment intensity rating increase for 478 | # exclamation points) 479 | $ep_amplifier = $ep_count*0.292; 480 | 481 | return $ep_amplifier; 482 | } 483 | 484 | public function _amplify_qm($text) 485 | { 486 | # check for added emphasis resulting from question marks (2 or 3+) 487 | $qm_count = substr_count($text, "?"); 488 | $qm_amplifier = 0; 489 | if ($qm_count > 1) { 490 | if ($qm_count <= 3) { 491 | # (empirically derived mean sentiment intensity rating increase for 492 | # question marks) 493 | $qm_amplifier = $qm_count*0.18; 494 | } else { 495 | $qm_amplifier = 0.96; 496 | } 497 | } 498 | 499 | return $qm_amplifier; 500 | } 501 | 502 | public function _sift_sentiment_scores($sentiments) 503 | { 504 | # want separate positive versus negative sentiment scores 505 | $pos_sum = 0.0; 506 | $neg_sum = 0.0; 507 | $neu_count = 0; 508 | foreach ($sentiments as $sentiment_score) { 509 | if ($sentiment_score > 0) { 510 | $pos_sum += $sentiment_score +1; # compensates for neutral words that are counted as 1 511 | } 512 | if ($sentiment_score < 0) { 513 | $neg_sum += $sentiment_score -1; # when used with math.fabs(), compensates for neutrals 514 | } 515 | if ($sentiment_score == 0) { 516 | $neu_count += 1; 517 | } 518 | } 519 | 520 | return [$pos_sum, $neg_sum, $neu_count]; 521 | } 522 | 523 | public function score_valence($sentiments, $text) 524 | { 525 | if ($sentiments) { 526 | $sum_s = array_sum($sentiments); 527 | # compute and add emphasis from punctuation in text 528 | $punct_emph_amplifier = $this->_punctuation_emphasis($sum_s, $text); 529 | if ($sum_s > 0) { 530 | $sum_s += $punct_emph_amplifier; 531 | } elseif ($sum_s < 0) { 532 | $sum_s -= $punct_emph_amplifier; 533 | } 534 | 535 | $compound = Config::normalize($sum_s); 536 | # discriminate between positive, negative and neutral sentiment scores 537 | list($pos_sum, $neg_sum, $neu_count) = $this->_sift_sentiment_scores($sentiments); 538 | 539 | if ($pos_sum > abs($neg_sum)) { 540 | $pos_sum += $punct_emph_amplifier; 541 | } elseif ($pos_sum < abs($neg_sum)) { 542 | $neg_sum -= $punct_emph_amplifier; 543 | } 544 | 545 | $total = $pos_sum + abs($neg_sum) + $neu_count; 546 | $pos =abs($pos_sum / $total); 547 | $neg = abs($neg_sum / $total); 548 | $neu = abs($neu_count / $total); 549 | } else { 550 | $compound = 0.0; 551 | $pos = 0.0; 552 | $neg = 0.0; 553 | $neu = 0.0; 554 | } 555 | 556 | $sentiment_dict = 557 | ["neg" => round($neg, 3), 558 | "neu" => round($neu, 3), 559 | "pos" => round($pos, 3), 560 | "compound" => round($compound, 4)]; 561 | 562 | return $sentiment_dict; 563 | } 564 | } 565 | -------------------------------------------------------------------------------- /src/Config/Config.php: -------------------------------------------------------------------------------- 1 | self::B_INCR, "amazingly"=> self::B_INCR, "awfully"=> self::B_INCR, "completely"=> self::B_INCR, "considerably"=> self::B_INCR, 37 | "decidedly"=> self::B_INCR, "deeply"=> self::B_INCR, "effing"=> self::B_INCR,"enormous"=> self::B_INCR, "enormously"=> self::B_INCR, 38 | "entirely"=> self::B_INCR, "especially"=> self::B_INCR, "exceptionally"=> self::B_INCR, "extremely"=> self::B_INCR, 39 | "fabulously"=> self::B_INCR, "flipping"=> self::B_INCR, "flippin"=> self::B_INCR, 40 | "fricking"=> self::B_INCR, "frickin"=> self::B_INCR, "frigging"=> self::B_INCR, "friggin"=> self::B_INCR, "fully"=> self::B_INCR, "fucking"=> self::B_INCR, 41 | "greatly"=> self::B_INCR, "hella"=> self::B_INCR, "highly"=> self::B_INCR, "hugely"=> self::B_INCR, "incredibly"=> self::B_INCR, 42 | "intensely"=> self::B_INCR, "majorly"=> self::B_INCR, "more"=> self::B_INCR, "most"=> self::B_INCR, "particularly"=> self::B_INCR, 43 | "purely"=> self::B_INCR, "quite"=> self::B_INCR, "seemingly" => self::B_INCR, "really"=> self::B_INCR, "remarkably"=> self::B_INCR, 44 | "so"=> self::B_INCR, "substantially"=> self::B_INCR, 45 | "thoroughly"=> self::B_INCR, "totally"=> self::B_INCR, "tremendous"=> self::B_INCR, "tremendously"=> self::B_INCR, 46 | "uber"=> self::B_INCR, "unbelievably"=> self::B_INCR, "unusually"=> self::B_INCR, "utterly"=> self::B_INCR, 47 | "very"=> self::B_INCR, 48 | "almost"=> self::B_DECR, "barely"=> self::B_DECR, "hardly"=> self::B_DECR, "just enough"=> self::B_DECR, 49 | "kind of"=> self::B_DECR, "kinda"=> self::B_DECR, "kindof"=> self::B_DECR, "kind-of"=> self::B_DECR, 50 | "less"=> self::B_DECR, "little"=> self::B_DECR, "marginally"=> self::B_DECR, "occasional"=> self::B_DECR, "occasionally"=> self::B_DECR, "partly"=> self::B_DECR, 51 | "scarcely"=> self::B_DECR, "slightly"=> self::B_DECR, "somewhat"=> self::B_DECR, 52 | "sort of"=> self::B_DECR, "sorta"=> self::B_DECR, "sortof"=> self::B_DECR, "sort-of"=> self::B_DECR]; 53 | 54 | 55 | # check for sentiment laden idioms that do not contain lexicon words (future work, not yet implemented) 56 | const SENTIMENT_LADEN_IDIOMS = ["cut the mustard"=> 2, "hand to mouth"=> -2, 57 | "back handed"=> -2, "blow smoke"=> -2, "blowing smoke"=> -2, 58 | "upper hand"=> 1, "break a leg"=> 2, 59 | "cooking with gas"=> 2, "in the black"=> 2, "in the red"=> -2, 60 | "on the ball"=> 2, "under the weather"=> -2]; 61 | 62 | // check for special case idioms using a sentiment-laden keyword known to SAGE 63 | const SPECIAL_CASE_IDIOMS = ["the shit"=> 3, "the bomb"=> 3, "bad ass"=> 1.5, "bus stop"=> 0.0, "yeah right"=> -2, "cut the mustard"=> 2, "kiss of death"=> -1.5, "hand to mouth"=> -2, "beating heart"=> 3.1,"broken heart"=> -2.9, "to die for"=> 3]; 64 | ##Static methods## 65 | 66 | /* 67 | Normalize the score to be between -1 and 1 using an alpha that 68 | approximates the max expected value 69 | */ 70 | public static function normalize($score, $alpha = 15) 71 | { 72 | $norm_score = $score/sqrt(($score*$score) + $alpha); 73 | return $norm_score; 74 | } 75 | } 76 | -------------------------------------------------------------------------------- /src/Lexicons/emoji_utf8_lexicon.txt: -------------------------------------------------------------------------------- 1 | 😀 grinning face 2 | 😁 beaming face with smiling eyes 3 | 😂 face with tears of joy 4 | 🤣 rolling on the floor laughing 5 | 😃 grinning face with big eyes 6 | 😄 grinning face with smiling eyes 7 | 😅 grinning face with sweat 8 | 😆 grinning squinting face 9 | 😉 winking face 10 | 😊 smiling face with smiling eyes 11 | 😋 face savoring food 12 | 😎 smiling face with sunglasses 13 | 😍 smiling face with heart-eyes 14 | 😘 face blowing a kiss 15 | 🥰 smiling face with 3 hearts 16 | 😗 kissing face 17 | 😙 kissing face with smiling eyes 18 | 😚 kissing face with closed eyes 19 | ☺️ smiling face 20 | ☺ smiling face 21 | 🙂 slightly smiling face 22 | 🤗 hugging face 23 | 🤩 star-struck 24 | 🤔 thinking face 25 | 🤨 face with raised eyebrow 26 | 😐 neutral face 27 | 😑 expressionless face 28 | 😶 face without mouth 29 | 🙄 face with rolling eyes 30 | 😏 smirking face 31 | 😣 persevering face 32 | 😥 sad but relieved face 33 | 😮 face with open mouth 34 | 🤐 zipper-mouth face 35 | 😯 hushed face 36 | 😪 sleepy face 37 | 😫 tired face 38 | 😴 sleeping face 39 | 😌 relieved face 40 | 😛 face with tongue 41 | 😜 winking face with tongue 42 | 😝 squinting face with tongue 43 | 🤤 drooling face 44 | 😒 unamused face 45 | 😓 downcast face with sweat 46 | 😔 pensive face 47 | 😕 confused face 48 | 🙃 upside-down face 49 | 🤑 money-mouth face 50 | 😲 astonished face 51 | ☹️ frowning face 52 | ☹ frowning face 53 | 🙁 slightly frowning face 54 | 😖 confounded face 55 | 😞 disappointed face 56 | 😟 worried face 57 | 😤 face with steam from nose 58 | 😢 crying face 59 | 😭 loudly crying face 60 | 😦 frowning face with open mouth 61 | 😧 anguished face 62 | 😨 fearful face 63 | 😩 weary face 64 | 🤯 exploding head 65 | 😬 grimacing face 66 | 😰 anxious face with sweat 67 | 😱 face screaming in fear 68 | 🥵 hot face 69 | 🥶 cold face 70 | 😳 flushed face 71 | 🤪 zany face 72 | 😵 dizzy face 73 | 😡 pouting face 74 | 😠 angry face 75 | 🤬 face with symbols on mouth 76 | 😷 face with medical mask 77 | 🤒 face with thermometer 78 | 🤕 face with head-bandage 79 | 🤢 nauseated face 80 | 🤮 face vomiting 81 | 🤧 sneezing face 82 | 😇 smiling face with halo 83 | 🤠 cowboy hat face 84 | 🥳 partying face 85 | 🥴 woozy face 86 | 🥺 pleading face 87 | 🤥 lying face 88 | 🤫 shushing face 89 | 🤭 face with hand over mouth 90 | 🧐 face with monocle 91 | 🤓 nerd face 92 | 😈 smiling face with horns 93 | 👿 angry face with horns 94 | 🤡 clown face 95 | 👹 ogre 96 | 👺 goblin 97 | 💀 skull 98 | ☠️ skull and crossbones 99 | ☠ skull and crossbones 100 | 👻 ghost 101 | 👽 alien 102 | 👾 alien monster 103 | 🤖 robot face 104 | 💩 pile of poo 105 | 😺 grinning cat face 106 | 😸 grinning cat face with smiling eyes 107 | 😹 cat face with tears of joy 108 | 😻 smiling cat face with heart-eyes 109 | 😼 cat face with wry smile 110 | 😽 kissing cat face 111 | 🙀 weary cat face 112 | 😿 crying cat face 113 | 😾 pouting cat face 114 | 🙈 see-no-evil monkey 115 | 🙉 hear-no-evil monkey 116 | 🙊 speak-no-evil monkey 117 | 🏻 light skin tone 118 | 🏼 medium-light skin tone 119 | 🏽 medium skin tone 120 | 🏾 medium-dark skin tone 121 | 🏿 dark skin tone 122 | 👶 baby 123 | 👶🏻 baby: light skin tone 124 | 👶🏼 baby: medium-light skin tone 125 | 👶🏽 baby: medium skin tone 126 | 👶🏾 baby: medium-dark skin tone 127 | 👶🏿 baby: dark skin tone 128 | 🧒 child 129 | 🧒🏻 child: light skin tone 130 | 🧒🏼 child: medium-light skin tone 131 | 🧒🏽 child: medium skin tone 132 | 🧒🏾 child: medium-dark skin tone 133 | 🧒🏿 child: dark skin tone 134 | 👦 boy 135 | 👦🏻 boy: light skin tone 136 | 👦🏼 boy: medium-light skin tone 137 | 👦🏽 boy: medium skin tone 138 | 👦🏾 boy: medium-dark skin tone 139 | 👦🏿 boy: dark skin tone 140 | 👧 girl 141 | 👧🏻 girl: light skin tone 142 | 👧🏼 girl: medium-light skin tone 143 | 👧🏽 girl: medium skin tone 144 | 👧🏾 girl: medium-dark skin tone 145 | 👧🏿 girl: dark skin tone 146 | 🧑 adult 147 | 🧑🏻 adult: light skin tone 148 | 🧑🏼 adult: medium-light skin tone 149 | 🧑🏽 adult: medium skin tone 150 | 🧑🏾 adult: medium-dark skin tone 151 | 🧑🏿 adult: dark skin tone 152 | 👨 man 153 | 👨🏻 man: light skin tone 154 | 👨🏼 man: medium-light skin tone 155 | 👨🏽 man: medium skin tone 156 | 👨🏾 man: medium-dark skin tone 157 | 👨🏿 man: dark skin tone 158 | 👩 woman 159 | 👩🏻 woman: light skin tone 160 | 👩🏼 woman: medium-light skin tone 161 | 👩🏽 woman: medium skin tone 162 | 👩🏾 woman: medium-dark skin tone 163 | 👩🏿 woman: dark skin tone 164 | 🧓 older adult 165 | 🧓🏻 older adult: light skin tone 166 | 🧓🏼 older adult: medium-light skin tone 167 | 🧓🏽 older adult: medium skin tone 168 | 🧓🏾 older adult: medium-dark skin tone 169 | 🧓🏿 older adult: dark skin tone 170 | 👴 old man 171 | 👴🏻 old man: light skin tone 172 | 👴🏼 old man: medium-light skin tone 173 | 👴🏽 old man: medium skin tone 174 | 👴🏾 old man: medium-dark skin tone 175 | 👴🏿 old man: dark skin tone 176 | 👵 old woman 177 | 👵🏻 old woman: light skin tone 178 | 👵🏼 old woman: medium-light skin tone 179 | 👵🏽 old woman: medium skin tone 180 | 👵🏾 old woman: medium-dark skin tone 181 | 👵🏿 old woman: dark skin tone 182 | 👨‍⚕️ man health worker 183 | 👨‍⚕ man health worker 184 | 👨🏻‍⚕️ man health worker: light skin tone 185 | 👨🏻‍⚕ man health worker: light skin tone 186 | 👨🏼‍⚕️ man health worker: medium-light skin tone 187 | 👨🏼‍⚕ man health worker: medium-light skin tone 188 | 👨🏽‍⚕️ man health worker: medium skin tone 189 | 👨🏽‍⚕ man health worker: medium skin tone 190 | 👨🏾‍⚕️ man health worker: medium-dark skin tone 191 | 👨🏾‍⚕ man health worker: medium-dark skin tone 192 | 👨🏿‍⚕️ man health worker: dark skin tone 193 | 👨🏿‍⚕ man health worker: dark skin tone 194 | 👩‍⚕️ woman health worker 195 | 👩‍⚕ woman health worker 196 | 👩🏻‍⚕️ woman health worker: light skin tone 197 | 👩🏻‍⚕ woman health worker: light skin tone 198 | 👩🏼‍⚕️ woman health worker: medium-light skin tone 199 | 👩🏼‍⚕ woman health worker: medium-light skin tone 200 | 👩🏽‍⚕️ woman health worker: medium skin tone 201 | 👩🏽‍⚕ woman health worker: medium skin tone 202 | 👩🏾‍⚕️ woman health worker: medium-dark skin tone 203 | 👩🏾‍⚕ woman health worker: medium-dark skin tone 204 | 👩🏿‍⚕️ woman health worker: dark skin tone 205 | 👩🏿‍⚕ woman health worker: dark skin tone 206 | 👨‍🎓 man student 207 | 👨🏻‍🎓 man student: light skin tone 208 | 👨🏼‍🎓 man student: medium-light skin tone 209 | 👨🏽‍🎓 man student: medium skin tone 210 | 👨🏾‍🎓 man student: medium-dark skin tone 211 | 👨🏿‍🎓 man student: dark skin tone 212 | 👩‍🎓 woman student 213 | 👩🏻‍🎓 woman student: light skin tone 214 | 👩🏼‍🎓 woman student: medium-light skin tone 215 | 👩🏽‍🎓 woman student: medium skin tone 216 | 👩🏾‍🎓 woman student: medium-dark skin tone 217 | 👩🏿‍🎓 woman student: dark skin tone 218 | 👨‍🏫 man teacher 219 | 👨🏻‍🏫 man teacher: light skin tone 220 | 👨🏼‍🏫 man teacher: medium-light skin tone 221 | 👨🏽‍🏫 man teacher: medium skin tone 222 | 👨🏾‍🏫 man teacher: medium-dark skin tone 223 | 👨🏿‍🏫 man teacher: dark skin tone 224 | 👩‍🏫 woman teacher 225 | 👩🏻‍🏫 woman teacher: light skin tone 226 | 👩🏼‍🏫 woman teacher: medium-light skin tone 227 | 👩🏽‍🏫 woman teacher: medium skin tone 228 | 👩🏾‍🏫 woman teacher: medium-dark skin tone 229 | 👩🏿‍🏫 woman teacher: dark skin tone 230 | 👨‍⚖️ man judge 231 | 👨‍⚖ man judge 232 | 👨🏻‍⚖️ man judge: light skin tone 233 | 👨🏻‍⚖ man judge: light skin tone 234 | 👨🏼‍⚖️ man judge: medium-light skin tone 235 | 👨🏼‍⚖ man judge: medium-light skin tone 236 | 👨🏽‍⚖️ man judge: medium skin tone 237 | 👨🏽‍⚖ man judge: medium skin tone 238 | 👨🏾‍⚖️ man judge: medium-dark skin tone 239 | 👨🏾‍⚖ man judge: medium-dark skin tone 240 | 👨🏿‍⚖️ man judge: dark skin tone 241 | 👨🏿‍⚖ man judge: dark skin tone 242 | 👩‍⚖️ woman judge 243 | 👩‍⚖ woman judge 244 | 👩🏻‍⚖️ woman judge: light skin tone 245 | 👩🏻‍⚖ woman judge: light skin tone 246 | 👩🏼‍⚖️ woman judge: medium-light skin tone 247 | 👩🏼‍⚖ woman judge: medium-light skin tone 248 | 👩🏽‍⚖️ woman judge: medium skin tone 249 | 👩🏽‍⚖ woman judge: medium skin tone 250 | 👩🏾‍⚖️ woman judge: medium-dark skin tone 251 | 👩🏾‍⚖ woman judge: medium-dark skin tone 252 | 👩🏿‍⚖️ woman judge: dark skin tone 253 | 👩🏿‍⚖ woman judge: dark skin tone 254 | 👨‍🌾 man farmer 255 | 👨🏻‍🌾 man farmer: light skin tone 256 | 👨🏼‍🌾 man farmer: medium-light skin tone 257 | 👨🏽‍🌾 man farmer: medium skin tone 258 | 👨🏾‍🌾 man farmer: medium-dark skin tone 259 | 👨🏿‍🌾 man farmer: dark skin tone 260 | 👩‍🌾 woman farmer 261 | 👩🏻‍🌾 woman farmer: light skin tone 262 | 👩🏼‍🌾 woman farmer: medium-light skin tone 263 | 👩🏽‍🌾 woman farmer: medium skin tone 264 | 👩🏾‍🌾 woman farmer: medium-dark skin tone 265 | 👩🏿‍🌾 woman farmer: dark skin tone 266 | 👨‍🍳 man cook 267 | 👨🏻‍🍳 man cook: light skin tone 268 | 👨🏼‍🍳 man cook: medium-light skin tone 269 | 👨🏽‍🍳 man cook: medium skin tone 270 | 👨🏾‍🍳 man cook: medium-dark skin tone 271 | 👨🏿‍🍳 man cook: dark skin tone 272 | 👩‍🍳 woman cook 273 | 👩🏻‍🍳 woman cook: light skin tone 274 | 👩🏼‍🍳 woman cook: medium-light skin tone 275 | 👩🏽‍🍳 woman cook: medium skin tone 276 | 👩🏾‍🍳 woman cook: medium-dark skin tone 277 | 👩🏿‍🍳 woman cook: dark skin tone 278 | 👨‍🔧 man mechanic 279 | 👨🏻‍🔧 man mechanic: light skin tone 280 | 👨🏼‍🔧 man mechanic: medium-light skin tone 281 | 👨🏽‍🔧 man mechanic: medium skin tone 282 | 👨🏾‍🔧 man mechanic: medium-dark skin tone 283 | 👨🏿‍🔧 man mechanic: dark skin tone 284 | 👩‍🔧 woman mechanic 285 | 👩🏻‍🔧 woman mechanic: light skin tone 286 | 👩🏼‍🔧 woman mechanic: medium-light skin tone 287 | 👩🏽‍🔧 woman mechanic: medium skin tone 288 | 👩🏾‍🔧 woman mechanic: medium-dark skin tone 289 | 👩🏿‍🔧 woman mechanic: dark skin tone 290 | 👨‍🏭 man factory worker 291 | 👨🏻‍🏭 man factory worker: light skin tone 292 | 👨🏼‍🏭 man factory worker: medium-light skin tone 293 | 👨🏽‍🏭 man factory worker: medium skin tone 294 | 👨🏾‍🏭 man factory worker: medium-dark skin tone 295 | 👨🏿‍🏭 man factory worker: dark skin tone 296 | 👩‍🏭 woman factory worker 297 | 👩🏻‍🏭 woman factory worker: light skin tone 298 | 👩🏼‍🏭 woman factory worker: medium-light skin tone 299 | 👩🏽‍🏭 woman factory worker: medium skin tone 300 | 👩🏾‍🏭 woman factory worker: medium-dark skin tone 301 | 👩🏿‍🏭 woman factory worker: dark skin tone 302 | 👨‍💼 man office worker 303 | 👨🏻‍💼 man office worker: light skin tone 304 | 👨🏼‍💼 man office worker: medium-light skin tone 305 | 👨🏽‍💼 man office worker: medium skin tone 306 | 👨🏾‍💼 man office worker: medium-dark skin tone 307 | 👨🏿‍💼 man office worker: dark skin tone 308 | 👩‍💼 woman office worker 309 | 👩🏻‍💼 woman office worker: light skin tone 310 | 👩🏼‍💼 woman office worker: medium-light skin tone 311 | 👩🏽‍💼 woman office worker: medium skin tone 312 | 👩🏾‍💼 woman office worker: medium-dark skin tone 313 | 👩🏿‍💼 woman office worker: dark skin tone 314 | 👨‍🔬 man scientist 315 | 👨🏻‍🔬 man scientist: light skin tone 316 | 👨🏼‍🔬 man scientist: medium-light skin tone 317 | 👨🏽‍🔬 man scientist: medium skin tone 318 | 👨🏾‍🔬 man scientist: medium-dark skin tone 319 | 👨🏿‍🔬 man scientist: dark skin tone 320 | 👩‍🔬 woman scientist 321 | 👩🏻‍🔬 woman scientist: light skin tone 322 | 👩🏼‍🔬 woman scientist: medium-light skin tone 323 | 👩🏽‍🔬 woman scientist: medium skin tone 324 | 👩🏾‍🔬 woman scientist: medium-dark skin tone 325 | 👩🏿‍🔬 woman scientist: dark skin tone 326 | 👨‍💻 man technologist 327 | 👨🏻‍💻 man technologist: light skin tone 328 | 👨🏼‍💻 man technologist: medium-light skin tone 329 | 👨🏽‍💻 man technologist: medium skin tone 330 | 👨🏾‍💻 man technologist: medium-dark skin tone 331 | 👨🏿‍💻 man technologist: dark skin tone 332 | 👩‍💻 woman technologist 333 | 👩🏻‍💻 woman technologist: light skin tone 334 | 👩🏼‍💻 woman technologist: medium-light skin tone 335 | 👩🏽‍💻 woman technologist: medium skin tone 336 | 👩🏾‍💻 woman technologist: medium-dark skin tone 337 | 👩🏿‍💻 woman technologist: dark skin tone 338 | 👨‍🎤 man singer 339 | 👨🏻‍🎤 man singer: light skin tone 340 | 👨🏼‍🎤 man singer: medium-light skin tone 341 | 👨🏽‍🎤 man singer: medium skin tone 342 | 👨🏾‍🎤 man singer: medium-dark skin tone 343 | 👨🏿‍🎤 man singer: dark skin tone 344 | 👩‍🎤 woman singer 345 | 👩🏻‍🎤 woman singer: light skin tone 346 | 👩🏼‍🎤 woman singer: medium-light skin tone 347 | 👩🏽‍🎤 woman singer: medium skin tone 348 | 👩🏾‍🎤 woman singer: medium-dark skin tone 349 | 👩🏿‍🎤 woman singer: dark skin tone 350 | 👨‍🎨 man artist 351 | 👨🏻‍🎨 man artist: light skin tone 352 | 👨🏼‍🎨 man artist: medium-light skin tone 353 | 👨🏽‍🎨 man artist: medium skin tone 354 | 👨🏾‍🎨 man artist: medium-dark skin tone 355 | 👨🏿‍🎨 man artist: dark skin tone 356 | 👩‍🎨 woman artist 357 | 👩🏻‍🎨 woman artist: light skin tone 358 | 👩🏼‍🎨 woman artist: medium-light skin tone 359 | 👩🏽‍🎨 woman artist: medium skin tone 360 | 👩🏾‍🎨 woman artist: medium-dark skin tone 361 | 👩🏿‍🎨 woman artist: dark skin tone 362 | 👨‍✈️ man pilot 363 | 👨‍✈ man pilot 364 | 👨🏻‍✈️ man pilot: light skin tone 365 | 👨🏻‍✈ man pilot: light skin tone 366 | 👨🏼‍✈️ man pilot: medium-light skin tone 367 | 👨🏼‍✈ man pilot: medium-light skin tone 368 | 👨🏽‍✈️ man pilot: medium skin tone 369 | 👨🏽‍✈ man pilot: medium skin tone 370 | 👨🏾‍✈️ man pilot: medium-dark skin tone 371 | 👨🏾‍✈ man pilot: medium-dark skin tone 372 | 👨🏿‍✈️ man pilot: dark skin tone 373 | 👨🏿‍✈ man pilot: dark skin tone 374 | 👩‍✈️ woman pilot 375 | 👩‍✈ woman pilot 376 | 👩🏻‍✈️ woman pilot: light skin tone 377 | 👩🏻‍✈ woman pilot: light skin tone 378 | 👩🏼‍✈️ woman pilot: medium-light skin tone 379 | 👩🏼‍✈ woman pilot: medium-light skin tone 380 | 👩🏽‍✈️ woman pilot: medium skin tone 381 | 👩🏽‍✈ woman pilot: medium skin tone 382 | 👩🏾‍✈️ woman pilot: medium-dark skin tone 383 | 👩🏾‍✈ woman pilot: medium-dark skin tone 384 | 👩🏿‍✈️ woman pilot: dark skin tone 385 | 👩🏿‍✈ woman pilot: dark skin tone 386 | 👨‍🚀 man astronaut 387 | 👨🏻‍🚀 man astronaut: light skin tone 388 | 👨🏼‍🚀 man astronaut: medium-light skin tone 389 | 👨🏽‍🚀 man astronaut: medium skin tone 390 | 👨🏾‍🚀 man astronaut: medium-dark skin tone 391 | 👨🏿‍🚀 man astronaut: dark skin tone 392 | 👩‍🚀 woman astronaut 393 | 👩🏻‍🚀 woman astronaut: light skin tone 394 | 👩🏼‍🚀 woman astronaut: medium-light skin tone 395 | 👩🏽‍🚀 woman astronaut: medium skin tone 396 | 👩🏾‍🚀 woman astronaut: medium-dark skin tone 397 | 👩🏿‍🚀 woman astronaut: dark skin tone 398 | 👨‍🚒 man firefighter 399 | 👨🏻‍🚒 man firefighter: light skin tone 400 | 👨🏼‍🚒 man firefighter: medium-light skin tone 401 | 👨🏽‍🚒 man firefighter: medium skin tone 402 | 👨🏾‍🚒 man firefighter: medium-dark skin tone 403 | 👨🏿‍🚒 man firefighter: dark skin tone 404 | 👩‍🚒 woman firefighter 405 | 👩🏻‍🚒 woman firefighter: light skin tone 406 | 👩🏼‍🚒 woman firefighter: medium-light skin tone 407 | 👩🏽‍🚒 woman firefighter: medium skin tone 408 | 👩🏾‍🚒 woman firefighter: medium-dark skin tone 409 | 👩🏿‍🚒 woman firefighter: dark skin tone 410 | 👮 police officer 411 | 👮🏻 police officer: light skin tone 412 | 👮🏼 police officer: medium-light skin tone 413 | 👮🏽 police officer: medium skin tone 414 | 👮🏾 police officer: medium-dark skin tone 415 | 👮🏿 police officer: dark skin tone 416 | 👮‍♂️ man police officer 417 | 👮‍♂ man police officer 418 | 👮🏻‍♂️ man police officer: light skin tone 419 | 👮🏻‍♂ man police officer: light skin tone 420 | 👮🏼‍♂️ man police officer: medium-light skin tone 421 | 👮🏼‍♂ man police officer: medium-light skin tone 422 | 👮🏽‍♂️ man police officer: medium skin tone 423 | 👮🏽‍♂ man police officer: medium skin tone 424 | 👮🏾‍♂️ man police officer: medium-dark skin tone 425 | 👮🏾‍♂ man police officer: medium-dark skin tone 426 | 👮🏿‍♂️ man police officer: dark skin tone 427 | 👮🏿‍♂ man police officer: dark skin tone 428 | 👮‍♀️ woman police officer 429 | 👮‍♀ woman police officer 430 | 👮🏻‍♀️ woman police officer: light skin tone 431 | 👮🏻‍♀ woman police officer: light skin tone 432 | 👮🏼‍♀️ woman police officer: medium-light skin tone 433 | 👮🏼‍♀ woman police officer: medium-light skin tone 434 | 👮🏽‍♀️ woman police officer: medium skin tone 435 | 👮🏽‍♀ woman police officer: medium skin tone 436 | 👮🏾‍♀️ woman police officer: medium-dark skin tone 437 | 👮🏾‍♀ woman police officer: medium-dark skin tone 438 | 👮🏿‍♀️ woman police officer: dark skin tone 439 | 👮🏿‍♀ woman police officer: dark skin tone 440 | 🕵️ detective 441 | 🕵 detective 442 | 🕵🏻 detective: light skin tone 443 | 🕵🏼 detective: medium-light skin tone 444 | 🕵🏽 detective: medium skin tone 445 | 🕵🏾 detective: medium-dark skin tone 446 | 🕵🏿 detective: dark skin tone 447 | 🕵️‍♂️ man detective 448 | 🕵‍♂️ man detective 449 | 🕵️‍♂ man detective 450 | 🕵‍♂ man detective 451 | 🕵🏻‍♂️ man detective: light skin tone 452 | 🕵🏻‍♂ man detective: light skin tone 453 | 🕵🏼‍♂️ man detective: medium-light skin tone 454 | 🕵🏼‍♂ man detective: medium-light skin tone 455 | 🕵🏽‍♂️ man detective: medium skin tone 456 | 🕵🏽‍♂ man detective: medium skin tone 457 | 🕵🏾‍♂️ man detective: medium-dark skin tone 458 | 🕵🏾‍♂ man detective: medium-dark skin tone 459 | 🕵🏿‍♂️ man detective: dark skin tone 460 | 🕵🏿‍♂ man detective: dark skin tone 461 | 🕵️‍♀️ woman detective 462 | 🕵‍♀️ woman detective 463 | 🕵️‍♀ woman detective 464 | 🕵‍♀ woman detective 465 | 🕵🏻‍♀️ woman detective: light skin tone 466 | 🕵🏻‍♀ woman detective: light skin tone 467 | 🕵🏼‍♀️ woman detective: medium-light skin tone 468 | 🕵🏼‍♀ woman detective: medium-light skin tone 469 | 🕵🏽‍♀️ woman detective: medium skin tone 470 | 🕵🏽‍♀ woman detective: medium skin tone 471 | 🕵🏾‍♀️ woman detective: medium-dark skin tone 472 | 🕵🏾‍♀ woman detective: medium-dark skin tone 473 | 🕵🏿‍♀️ woman detective: dark skin tone 474 | 🕵🏿‍♀ woman detective: dark skin tone 475 | 💂 guard 476 | 💂🏻 guard: light skin tone 477 | 💂🏼 guard: medium-light skin tone 478 | 💂🏽 guard: medium skin tone 479 | 💂🏾 guard: medium-dark skin tone 480 | 💂🏿 guard: dark skin tone 481 | 💂‍♂️ man guard 482 | 💂‍♂ man guard 483 | 💂🏻‍♂️ man guard: light skin tone 484 | 💂🏻‍♂ man guard: light skin tone 485 | 💂🏼‍♂️ man guard: medium-light skin tone 486 | 💂🏼‍♂ man guard: medium-light skin tone 487 | 💂🏽‍♂️ man guard: medium skin tone 488 | 💂🏽‍♂ man guard: medium skin tone 489 | 💂🏾‍♂️ man guard: medium-dark skin tone 490 | 💂🏾‍♂ man guard: medium-dark skin tone 491 | 💂🏿‍♂️ man guard: dark skin tone 492 | 💂🏿‍♂ man guard: dark skin tone 493 | 💂‍♀️ woman guard 494 | 💂‍♀ woman guard 495 | 💂🏻‍♀️ woman guard: light skin tone 496 | 💂🏻‍♀ woman guard: light skin tone 497 | 💂🏼‍♀️ woman guard: medium-light skin tone 498 | 💂🏼‍♀ woman guard: medium-light skin tone 499 | 💂🏽‍♀️ woman guard: medium skin tone 500 | 💂🏽‍♀ woman guard: medium skin tone 501 | 💂🏾‍♀️ woman guard: medium-dark skin tone 502 | 💂🏾‍♀ woman guard: medium-dark skin tone 503 | 💂🏿‍♀️ woman guard: dark skin tone 504 | 💂🏿‍♀ woman guard: dark skin tone 505 | 👷 construction worker 506 | 👷🏻 construction worker: light skin tone 507 | 👷🏼 construction worker: medium-light skin tone 508 | 👷🏽 construction worker: medium skin tone 509 | 👷🏾 construction worker: medium-dark skin tone 510 | 👷🏿 construction worker: dark skin tone 511 | 👷‍♂️ man construction worker 512 | 👷‍♂ man construction worker 513 | 👷🏻‍♂️ man construction worker: light skin tone 514 | 👷🏻‍♂ man construction worker: light skin tone 515 | 👷🏼‍♂️ man construction worker: medium-light skin tone 516 | 👷🏼‍♂ man construction worker: medium-light skin tone 517 | 👷🏽‍♂️ man construction worker: medium skin tone 518 | 👷🏽‍♂ man construction worker: medium skin tone 519 | 👷🏾‍♂️ man construction worker: medium-dark skin tone 520 | 👷🏾‍♂ man construction worker: medium-dark skin tone 521 | 👷🏿‍♂️ man construction worker: dark skin tone 522 | 👷🏿‍♂ man construction worker: dark skin tone 523 | 👷‍♀️ woman construction worker 524 | 👷‍♀ woman construction worker 525 | 👷🏻‍♀️ woman construction worker: light skin tone 526 | 👷🏻‍♀ woman construction worker: light skin tone 527 | 👷🏼‍♀️ woman construction worker: medium-light skin tone 528 | 👷🏼‍♀ woman construction worker: medium-light skin tone 529 | 👷🏽‍♀️ woman construction worker: medium skin tone 530 | 👷🏽‍♀ woman construction worker: medium skin tone 531 | 👷🏾‍♀️ woman construction worker: medium-dark skin tone 532 | 👷🏾‍♀ woman construction worker: medium-dark skin tone 533 | 👷🏿‍♀️ woman construction worker: dark skin tone 534 | 👷🏿‍♀ woman construction worker: dark skin tone 535 | 🤴 prince 536 | 🤴🏻 prince: light skin tone 537 | 🤴🏼 prince: medium-light skin tone 538 | 🤴🏽 prince: medium skin tone 539 | 🤴🏾 prince: medium-dark skin tone 540 | 🤴🏿 prince: dark skin tone 541 | 👸 princess 542 | 👸🏻 princess: light skin tone 543 | 👸🏼 princess: medium-light skin tone 544 | 👸🏽 princess: medium skin tone 545 | 👸🏾 princess: medium-dark skin tone 546 | 👸🏿 princess: dark skin tone 547 | 👳 person wearing turban 548 | 👳🏻 person wearing turban: light skin tone 549 | 👳🏼 person wearing turban: medium-light skin tone 550 | 👳🏽 person wearing turban: medium skin tone 551 | 👳🏾 person wearing turban: medium-dark skin tone 552 | 👳🏿 person wearing turban: dark skin tone 553 | 👳‍♂️ man wearing turban 554 | 👳‍♂ man wearing turban 555 | 👳🏻‍♂️ man wearing turban: light skin tone 556 | 👳🏻‍♂ man wearing turban: light skin tone 557 | 👳🏼‍♂️ man wearing turban: medium-light skin tone 558 | 👳🏼‍♂ man wearing turban: medium-light skin tone 559 | 👳🏽‍♂️ man wearing turban: medium skin tone 560 | 👳🏽‍♂ man wearing turban: medium skin tone 561 | 👳🏾‍♂️ man wearing turban: medium-dark skin tone 562 | 👳🏾‍♂ man wearing turban: medium-dark skin tone 563 | 👳🏿‍♂️ man wearing turban: dark skin tone 564 | 👳🏿‍♂ man wearing turban: dark skin tone 565 | 👳‍♀️ woman wearing turban 566 | 👳‍♀ woman wearing turban 567 | 👳🏻‍♀️ woman wearing turban: light skin tone 568 | 👳🏻‍♀ woman wearing turban: light skin tone 569 | 👳🏼‍♀️ woman wearing turban: medium-light skin tone 570 | 👳🏼‍♀ woman wearing turban: medium-light skin tone 571 | 👳🏽‍♀️ woman wearing turban: medium skin tone 572 | 👳🏽‍♀ woman wearing turban: medium skin tone 573 | 👳🏾‍♀️ woman wearing turban: medium-dark skin tone 574 | 👳🏾‍♀ woman wearing turban: medium-dark skin tone 575 | 👳🏿‍♀️ woman wearing turban: dark skin tone 576 | 👳🏿‍♀ woman wearing turban: dark skin tone 577 | 👲 man with Chinese cap 578 | 👲🏻 man with Chinese cap: light skin tone 579 | 👲🏼 man with Chinese cap: medium-light skin tone 580 | 👲🏽 man with Chinese cap: medium skin tone 581 | 👲🏾 man with Chinese cap: medium-dark skin tone 582 | 👲🏿 man with Chinese cap: dark skin tone 583 | 🧕 woman with headscarf 584 | 🧕🏻 woman with headscarf: light skin tone 585 | 🧕🏼 woman with headscarf: medium-light skin tone 586 | 🧕🏽 woman with headscarf: medium skin tone 587 | 🧕🏾 woman with headscarf: medium-dark skin tone 588 | 🧕🏿 woman with headscarf: dark skin tone 589 | 🧔 bearded person 590 | 🧔🏻 bearded person: light skin tone 591 | 🧔🏼 bearded person: medium-light skin tone 592 | 🧔🏽 bearded person: medium skin tone 593 | 🧔🏾 bearded person: medium-dark skin tone 594 | 🧔🏿 bearded person: dark skin tone 595 | 👱 blond-haired person 596 | 👱🏻 blond-haired person: light skin tone 597 | 👱🏼 blond-haired person: medium-light skin tone 598 | 👱🏽 blond-haired person: medium skin tone 599 | 👱🏾 blond-haired person: medium-dark skin tone 600 | 👱🏿 blond-haired person: dark skin tone 601 | 👱‍♂️ blond-haired man 602 | 👱‍♂ blond-haired man 603 | 👱🏻‍♂️ blond-haired man: light skin tone 604 | 👱🏻‍♂ blond-haired man: light skin tone 605 | 👱🏼‍♂️ blond-haired man: medium-light skin tone 606 | 👱🏼‍♂ blond-haired man: medium-light skin tone 607 | 👱🏽‍♂️ blond-haired man: medium skin tone 608 | 👱🏽‍♂ blond-haired man: medium skin tone 609 | 👱🏾‍♂️ blond-haired man: medium-dark skin tone 610 | 👱🏾‍♂ blond-haired man: medium-dark skin tone 611 | 👱🏿‍♂️ blond-haired man: dark skin tone 612 | 👱🏿‍♂ blond-haired man: dark skin tone 613 | 👱‍♀️ blond-haired woman 614 | 👱‍♀ blond-haired woman 615 | 👱🏻‍♀️ blond-haired woman: light skin tone 616 | 👱🏻‍♀ blond-haired woman: light skin tone 617 | 👱🏼‍♀️ blond-haired woman: medium-light skin tone 618 | 👱🏼‍♀ blond-haired woman: medium-light skin tone 619 | 👱🏽‍♀️ blond-haired woman: medium skin tone 620 | 👱🏽‍♀ blond-haired woman: medium skin tone 621 | 👱🏾‍♀️ blond-haired woman: medium-dark skin tone 622 | 👱🏾‍♀ blond-haired woman: medium-dark skin tone 623 | 👱🏿‍♀️ blond-haired woman: dark skin tone 624 | 👱🏿‍♀ blond-haired woman: dark skin tone 625 | 👨‍🦰 man, red haired 626 | 👨🏻‍🦰 man, red haired: light skin tone 627 | 👨🏼‍🦰 man, red haired: medium-light skin tone 628 | 👨🏽‍🦰 man, red haired: medium skin tone 629 | 👨🏾‍🦰 man, red haired: medium-dark skin tone 630 | 👨🏿‍🦰 man, red haired: dark skin tone 631 | 👩‍🦰 woman, red haired 632 | 👩🏻‍🦰 woman, red haired: light skin tone 633 | 👩🏼‍🦰 woman, red haired: medium-light skin tone 634 | 👩🏽‍🦰 woman, red haired: medium skin tone 635 | 👩🏾‍🦰 woman, red haired: medium-dark skin tone 636 | 👩🏿‍🦰 woman, red haired: dark skin tone 637 | 👨‍🦱 man, curly haired 638 | 👨🏻‍🦱 man, curly haired: light skin tone 639 | 👨🏼‍🦱 man, curly haired: medium-light skin tone 640 | 👨🏽‍🦱 man, curly haired: medium skin tone 641 | 👨🏾‍🦱 man, curly haired: medium-dark skin tone 642 | 👨🏿‍🦱 man, curly haired: dark skin tone 643 | 👩‍🦱 woman, curly haired 644 | 👩🏻‍🦱 woman, curly haired: light skin tone 645 | 👩🏼‍🦱 woman, curly haired: medium-light skin tone 646 | 👩🏽‍🦱 woman, curly haired: medium skin tone 647 | 👩🏾‍🦱 woman, curly haired: medium-dark skin tone 648 | 👩🏿‍🦱 woman, curly haired: dark skin tone 649 | 👨‍🦲 man, bald 650 | 👨🏻‍🦲 man, bald: light skin tone 651 | 👨🏼‍🦲 man, bald: medium-light skin tone 652 | 👨🏽‍🦲 man, bald: medium skin tone 653 | 👨🏾‍🦲 man, bald: medium-dark skin tone 654 | 👨🏿‍🦲 man, bald: dark skin tone 655 | 👩‍🦲 woman, bald 656 | 👩🏻‍🦲 woman, bald: light skin tone 657 | 👩🏼‍🦲 woman, bald: medium-light skin tone 658 | 👩🏽‍🦲 woman, bald: medium skin tone 659 | 👩🏾‍🦲 woman, bald: medium-dark skin tone 660 | 👩🏿‍🦲 woman, bald: dark skin tone 661 | 👨‍🦳 man, white haired 662 | 👨🏻‍🦳 man, white haired: light skin tone 663 | 👨🏼‍🦳 man, white haired: medium-light skin tone 664 | 👨🏽‍🦳 man, white haired: medium skin tone 665 | 👨🏾‍🦳 man, white haired: medium-dark skin tone 666 | 👨🏿‍🦳 man, white haired: dark skin tone 667 | 👩‍🦳 woman, white haired 668 | 👩🏻‍🦳 woman, white haired: light skin tone 669 | 👩🏼‍🦳 woman, white haired: medium-light skin tone 670 | 👩🏽‍🦳 woman, white haired: medium skin tone 671 | 👩🏾‍🦳 woman, white haired: medium-dark skin tone 672 | 👩🏿‍🦳 woman, white haired: dark skin tone 673 | 🤵 man in tuxedo 674 | 🤵🏻 man in tuxedo: light skin tone 675 | 🤵🏼 man in tuxedo: medium-light skin tone 676 | 🤵🏽 man in tuxedo: medium skin tone 677 | 🤵🏾 man in tuxedo: medium-dark skin tone 678 | 🤵🏿 man in tuxedo: dark skin tone 679 | 👰 bride with veil 680 | 👰🏻 bride with veil: light skin tone 681 | 👰🏼 bride with veil: medium-light skin tone 682 | 👰🏽 bride with veil: medium skin tone 683 | 👰🏾 bride with veil: medium-dark skin tone 684 | 👰🏿 bride with veil: dark skin tone 685 | 🤰 pregnant woman 686 | 🤰🏻 pregnant woman: light skin tone 687 | 🤰🏼 pregnant woman: medium-light skin tone 688 | 🤰🏽 pregnant woman: medium skin tone 689 | 🤰🏾 pregnant woman: medium-dark skin tone 690 | 🤰🏿 pregnant woman: dark skin tone 691 | 🤱 breast-feeding 692 | 🤱🏻 breast-feeding: light skin tone 693 | 🤱🏼 breast-feeding: medium-light skin tone 694 | 🤱🏽 breast-feeding: medium skin tone 695 | 🤱🏾 breast-feeding: medium-dark skin tone 696 | 🤱🏿 breast-feeding: dark skin tone 697 | 👼 baby angel 698 | 👼🏻 baby angel: light skin tone 699 | 👼🏼 baby angel: medium-light skin tone 700 | 👼🏽 baby angel: medium skin tone 701 | 👼🏾 baby angel: medium-dark skin tone 702 | 👼🏿 baby angel: dark skin tone 703 | 🎅 Santa Claus 704 | 🎅🏻 Santa Claus: light skin tone 705 | 🎅🏼 Santa Claus: medium-light skin tone 706 | 🎅🏽 Santa Claus: medium skin tone 707 | 🎅🏾 Santa Claus: medium-dark skin tone 708 | 🎅🏿 Santa Claus: dark skin tone 709 | 🤶 Mrs. Claus 710 | 🤶🏻 Mrs. Claus: light skin tone 711 | 🤶🏼 Mrs. Claus: medium-light skin tone 712 | 🤶🏽 Mrs. Claus: medium skin tone 713 | 🤶🏾 Mrs. Claus: medium-dark skin tone 714 | 🤶🏿 Mrs. Claus: dark skin tone 715 | 🦸 superhero 716 | 🦸🏻 superhero: light skin tone 717 | 🦸🏼 superhero: medium-light skin tone 718 | 🦸🏽 superhero: medium skin tone 719 | 🦸🏾 superhero: medium-dark skin tone 720 | 🦸🏿 superhero: dark skin tone 721 | 🦸‍♀️ woman superhero 722 | 🦸‍♀ woman superhero 723 | 🦸🏻‍♀️ woman superhero: light skin tone 724 | 🦸🏻‍♀ woman superhero: light skin tone 725 | 🦸🏼‍♀️ woman superhero: medium-light skin tone 726 | 🦸🏼‍♀ woman superhero: medium-light skin tone 727 | 🦸🏽‍♀️ woman superhero: medium skin tone 728 | 🦸🏽‍♀ woman superhero: medium skin tone 729 | 🦸🏾‍♀️ woman superhero: medium-dark skin tone 730 | 🦸🏾‍♀ woman superhero: medium-dark skin tone 731 | 🦸🏿‍♀️ woman superhero: dark skin tone 732 | 🦸🏿‍♀ woman superhero: dark skin tone 733 | 🦸‍♂️ man superhero 734 | 🦸‍♂ man superhero 735 | 🦸🏻‍♂️ man superhero: light skin tone 736 | 🦸🏻‍♂ man superhero: light skin tone 737 | 🦸🏼‍♂️ man superhero: medium-light skin tone 738 | 🦸🏼‍♂ man superhero: medium-light skin tone 739 | 🦸🏽‍♂️ man superhero: medium skin tone 740 | 🦸🏽‍♂ man superhero: medium skin tone 741 | 🦸🏾‍♂️ man superhero: medium-dark skin tone 742 | 🦸🏾‍♂ man superhero: medium-dark skin tone 743 | 🦸🏿‍♂️ man superhero: dark skin tone 744 | 🦸🏿‍♂ man superhero: dark skin tone 745 | 🦹 supervillain 746 | 🦹🏻 supervillain: light skin tone 747 | 🦹🏼 supervillain: medium-light skin tone 748 | 🦹🏽 supervillain: medium skin tone 749 | 🦹🏾 supervillain: medium-dark skin tone 750 | 🦹🏿 supervillain: dark skin tone 751 | 🦹‍♀️ woman supervillain 752 | 🦹‍♀ woman supervillain 753 | 🦹🏻‍♀️ woman supervillain: light skin tone 754 | 🦹🏻‍♀ woman supervillain: light skin tone 755 | 🦹🏼‍♀️ woman supervillain: medium-light skin tone 756 | 🦹🏼‍♀ woman supervillain: medium-light skin tone 757 | 🦹🏽‍♀️ woman supervillain: medium skin tone 758 | 🦹🏽‍♀ woman supervillain: medium skin tone 759 | 🦹🏾‍♀️ woman supervillain: medium-dark skin tone 760 | 🦹🏾‍♀ woman supervillain: medium-dark skin tone 761 | 🦹🏿‍♀️ woman supervillain: dark skin tone 762 | 🦹🏿‍♀ woman supervillain: dark skin tone 763 | 🦹‍♂️ man supervillain 764 | 🦹‍♂ man supervillain 765 | 🦹🏻‍♂️ man supervillain: light skin tone 766 | 🦹🏻‍♂ man supervillain: light skin tone 767 | 🦹🏼‍♂️ man supervillain: medium-light skin tone 768 | 🦹🏼‍♂ man supervillain: medium-light skin tone 769 | 🦹🏽‍♂️ man supervillain: medium skin tone 770 | 🦹🏽‍♂ man supervillain: medium skin tone 771 | 🦹🏾‍♂️ man supervillain: medium-dark skin tone 772 | 🦹🏾‍♂ man supervillain: medium-dark skin tone 773 | 🦹🏿‍♂️ man supervillain: dark skin tone 774 | 🦹🏿‍♂ man supervillain: dark skin tone 775 | 🧙 mage 776 | 🧙🏻 mage: light skin tone 777 | 🧙🏼 mage: medium-light skin tone 778 | 🧙🏽 mage: medium skin tone 779 | 🧙🏾 mage: medium-dark skin tone 780 | 🧙🏿 mage: dark skin tone 781 | 🧙‍♀️ woman mage 782 | 🧙‍♀ woman mage 783 | 🧙🏻‍♀️ woman mage: light skin tone 784 | 🧙🏻‍♀ woman mage: light skin tone 785 | 🧙🏼‍♀️ woman mage: medium-light skin tone 786 | 🧙🏼‍♀ woman mage: medium-light skin tone 787 | 🧙🏽‍♀️ woman mage: medium skin tone 788 | 🧙🏽‍♀ woman mage: medium skin tone 789 | 🧙🏾‍♀️ woman mage: medium-dark skin tone 790 | 🧙🏾‍♀ woman mage: medium-dark skin tone 791 | 🧙🏿‍♀️ woman mage: dark skin tone 792 | 🧙🏿‍♀ woman mage: dark skin tone 793 | 🧙‍♂️ man mage 794 | 🧙‍♂ man mage 795 | 🧙🏻‍♂️ man mage: light skin tone 796 | 🧙🏻‍♂ man mage: light skin tone 797 | 🧙🏼‍♂️ man mage: medium-light skin tone 798 | 🧙🏼‍♂ man mage: medium-light skin tone 799 | 🧙🏽‍♂️ man mage: medium skin tone 800 | 🧙🏽‍♂ man mage: medium skin tone 801 | 🧙🏾‍♂️ man mage: medium-dark skin tone 802 | 🧙🏾‍♂ man mage: medium-dark skin tone 803 | 🧙🏿‍♂️ man mage: dark skin tone 804 | 🧙🏿‍♂ man mage: dark skin tone 805 | 🧚 fairy 806 | 🧚🏻 fairy: light skin tone 807 | 🧚🏼 fairy: medium-light skin tone 808 | 🧚🏽 fairy: medium skin tone 809 | 🧚🏾 fairy: medium-dark skin tone 810 | 🧚🏿 fairy: dark skin tone 811 | 🧚‍♀️ woman fairy 812 | 🧚‍♀ woman fairy 813 | 🧚🏻‍♀️ woman fairy: light skin tone 814 | 🧚🏻‍♀ woman fairy: light skin tone 815 | 🧚🏼‍♀️ woman fairy: medium-light skin tone 816 | 🧚🏼‍♀ woman fairy: medium-light skin tone 817 | 🧚🏽‍♀️ woman fairy: medium skin tone 818 | 🧚🏽‍♀ woman fairy: medium skin tone 819 | 🧚🏾‍♀️ woman fairy: medium-dark skin tone 820 | 🧚🏾‍♀ woman fairy: medium-dark skin tone 821 | 🧚🏿‍♀️ woman fairy: dark skin tone 822 | 🧚🏿‍♀ woman fairy: dark skin tone 823 | 🧚‍♂️ man fairy 824 | 🧚‍♂ man fairy 825 | 🧚🏻‍♂️ man fairy: light skin tone 826 | 🧚🏻‍♂ man fairy: light skin tone 827 | 🧚🏼‍♂️ man fairy: medium-light skin tone 828 | 🧚🏼‍♂ man fairy: medium-light skin tone 829 | 🧚🏽‍♂️ man fairy: medium skin tone 830 | 🧚🏽‍♂ man fairy: medium skin tone 831 | 🧚🏾‍♂️ man fairy: medium-dark skin tone 832 | 🧚🏾‍♂ man fairy: medium-dark skin tone 833 | 🧚🏿‍♂️ man fairy: dark skin tone 834 | 🧚🏿‍♂ man fairy: dark skin tone 835 | 🧛 vampire 836 | 🧛🏻 vampire: light skin tone 837 | 🧛🏼 vampire: medium-light skin tone 838 | 🧛🏽 vampire: medium skin tone 839 | 🧛🏾 vampire: medium-dark skin tone 840 | 🧛🏿 vampire: dark skin tone 841 | 🧛‍♀️ woman vampire 842 | 🧛‍♀ woman vampire 843 | 🧛🏻‍♀️ woman vampire: light skin tone 844 | 🧛🏻‍♀ woman vampire: light skin tone 845 | 🧛🏼‍♀️ woman vampire: medium-light skin tone 846 | 🧛🏼‍♀ woman vampire: medium-light skin tone 847 | 🧛🏽‍♀️ woman vampire: medium skin tone 848 | 🧛🏽‍♀ woman vampire: medium skin tone 849 | 🧛🏾‍♀️ woman vampire: medium-dark skin tone 850 | 🧛🏾‍♀ woman vampire: medium-dark skin tone 851 | 🧛🏿‍♀️ woman vampire: dark skin tone 852 | 🧛🏿‍♀ woman vampire: dark skin tone 853 | 🧛‍♂️ man vampire 854 | 🧛‍♂ man vampire 855 | 🧛🏻‍♂️ man vampire: light skin tone 856 | 🧛🏻‍♂ man vampire: light skin tone 857 | 🧛🏼‍♂️ man vampire: medium-light skin tone 858 | 🧛🏼‍♂ man vampire: medium-light skin tone 859 | 🧛🏽‍♂️ man vampire: medium skin tone 860 | 🧛🏽‍♂ man vampire: medium skin tone 861 | 🧛🏾‍♂️ man vampire: medium-dark skin tone 862 | 🧛🏾‍♂ man vampire: medium-dark skin tone 863 | 🧛🏿‍♂️ man vampire: dark skin tone 864 | 🧛🏿‍♂ man vampire: dark skin tone 865 | 🧜 merperson 866 | 🧜🏻 merperson: light skin tone 867 | 🧜🏼 merperson: medium-light skin tone 868 | 🧜🏽 merperson: medium skin tone 869 | 🧜🏾 merperson: medium-dark skin tone 870 | 🧜🏿 merperson: dark skin tone 871 | 🧜‍♀️ mermaid 872 | 🧜‍♀ mermaid 873 | 🧜🏻‍♀️ mermaid: light skin tone 874 | 🧜🏻‍♀ mermaid: light skin tone 875 | 🧜🏼‍♀️ mermaid: medium-light skin tone 876 | 🧜🏼‍♀ mermaid: medium-light skin tone 877 | 🧜🏽‍♀️ mermaid: medium skin tone 878 | 🧜🏽‍♀ mermaid: medium skin tone 879 | 🧜🏾‍♀️ mermaid: medium-dark skin tone 880 | 🧜🏾‍♀ mermaid: medium-dark skin tone 881 | 🧜🏿‍♀️ mermaid: dark skin tone 882 | 🧜🏿‍♀ mermaid: dark skin tone 883 | 🧜‍♂️ merman 884 | 🧜‍♂ merman 885 | 🧜🏻‍♂️ merman: light skin tone 886 | 🧜🏻‍♂ merman: light skin tone 887 | 🧜🏼‍♂️ merman: medium-light skin tone 888 | 🧜🏼‍♂ merman: medium-light skin tone 889 | 🧜🏽‍♂️ merman: medium skin tone 890 | 🧜🏽‍♂ merman: medium skin tone 891 | 🧜🏾‍♂️ merman: medium-dark skin tone 892 | 🧜🏾‍♂ merman: medium-dark skin tone 893 | 🧜🏿‍♂️ merman: dark skin tone 894 | 🧜🏿‍♂ merman: dark skin tone 895 | 🧝 elf 896 | 🧝🏻 elf: light skin tone 897 | 🧝🏼 elf: medium-light skin tone 898 | 🧝🏽 elf: medium skin tone 899 | 🧝🏾 elf: medium-dark skin tone 900 | 🧝🏿 elf: dark skin tone 901 | 🧝‍♀️ woman elf 902 | 🧝‍♀ woman elf 903 | 🧝🏻‍♀️ woman elf: light skin tone 904 | 🧝🏻‍♀ woman elf: light skin tone 905 | 🧝🏼‍♀️ woman elf: medium-light skin tone 906 | 🧝🏼‍♀ woman elf: medium-light skin tone 907 | 🧝🏽‍♀️ woman elf: medium skin tone 908 | 🧝🏽‍♀ woman elf: medium skin tone 909 | 🧝🏾‍♀️ woman elf: medium-dark skin tone 910 | 🧝🏾‍♀ woman elf: medium-dark skin tone 911 | 🧝🏿‍♀️ woman elf: dark skin tone 912 | 🧝🏿‍♀ woman elf: dark skin tone 913 | 🧝‍♂️ man elf 914 | 🧝‍♂ man elf 915 | 🧝🏻‍♂️ man elf: light skin tone 916 | 🧝🏻‍♂ man elf: light skin tone 917 | 🧝🏼‍♂️ man elf: medium-light skin tone 918 | 🧝🏼‍♂ man elf: medium-light skin tone 919 | 🧝🏽‍♂️ man elf: medium skin tone 920 | 🧝🏽‍♂ man elf: medium skin tone 921 | 🧝🏾‍♂️ man elf: medium-dark skin tone 922 | 🧝🏾‍♂ man elf: medium-dark skin tone 923 | 🧝🏿‍♂️ man elf: dark skin tone 924 | 🧝🏿‍♂ man elf: dark skin tone 925 | 🧞 genie 926 | 🧞‍♀️ woman genie 927 | 🧞‍♀ woman genie 928 | 🧞‍♂️ man genie 929 | 🧞‍♂ man genie 930 | 🧟 zombie 931 | 🧟‍♀️ woman zombie 932 | 🧟‍♀ woman zombie 933 | 🧟‍♂️ man zombie 934 | 🧟‍♂ man zombie 935 | 🙍 person frowning 936 | 🙍🏻 person frowning: light skin tone 937 | 🙍🏼 person frowning: medium-light skin tone 938 | 🙍🏽 person frowning: medium skin tone 939 | 🙍🏾 person frowning: medium-dark skin tone 940 | 🙍🏿 person frowning: dark skin tone 941 | 🙍‍♂️ man frowning 942 | 🙍‍♂ man frowning 943 | 🙍🏻‍♂️ man frowning: light skin tone 944 | 🙍🏻‍♂ man frowning: light skin tone 945 | 🙍🏼‍♂️ man frowning: medium-light skin tone 946 | 🙍🏼‍♂ man frowning: medium-light skin tone 947 | 🙍🏽‍♂️ man frowning: medium skin tone 948 | 🙍🏽‍♂ man frowning: medium skin tone 949 | 🙍🏾‍♂️ man frowning: medium-dark skin tone 950 | 🙍🏾‍♂ man frowning: medium-dark skin tone 951 | 🙍🏿‍♂️ man frowning: dark skin tone 952 | 🙍🏿‍♂ man frowning: dark skin tone 953 | 🙍‍♀️ woman frowning 954 | 🙍‍♀ woman frowning 955 | 🙍🏻‍♀️ woman frowning: light skin tone 956 | 🙍🏻‍♀ woman frowning: light skin tone 957 | 🙍🏼‍♀️ woman frowning: medium-light skin tone 958 | 🙍🏼‍♀ woman frowning: medium-light skin tone 959 | 🙍🏽‍♀️ woman frowning: medium skin tone 960 | 🙍🏽‍♀ woman frowning: medium skin tone 961 | 🙍🏾‍♀️ woman frowning: medium-dark skin tone 962 | 🙍🏾‍♀ woman frowning: medium-dark skin tone 963 | 🙍🏿‍♀️ woman frowning: dark skin tone 964 | 🙍🏿‍♀ woman frowning: dark skin tone 965 | 🙎 person pouting 966 | 🙎🏻 person pouting: light skin tone 967 | 🙎🏼 person pouting: medium-light skin tone 968 | 🙎🏽 person pouting: medium skin tone 969 | 🙎🏾 person pouting: medium-dark skin tone 970 | 🙎🏿 person pouting: dark skin tone 971 | 🙎‍♂️ man pouting 972 | 🙎‍♂ man pouting 973 | 🙎🏻‍♂️ man pouting: light skin tone 974 | 🙎🏻‍♂ man pouting: light skin tone 975 | 🙎🏼‍♂️ man pouting: medium-light skin tone 976 | 🙎🏼‍♂ man pouting: medium-light skin tone 977 | 🙎🏽‍♂️ man pouting: medium skin tone 978 | 🙎🏽‍♂ man pouting: medium skin tone 979 | 🙎🏾‍♂️ man pouting: medium-dark skin tone 980 | 🙎🏾‍♂ man pouting: medium-dark skin tone 981 | 🙎🏿‍♂️ man pouting: dark skin tone 982 | 🙎🏿‍♂ man pouting: dark skin tone 983 | 🙎‍♀️ woman pouting 984 | 🙎‍♀ woman pouting 985 | 🙎🏻‍♀️ woman pouting: light skin tone 986 | 🙎🏻‍♀ woman pouting: light skin tone 987 | 🙎🏼‍♀️ woman pouting: medium-light skin tone 988 | 🙎🏼‍♀ woman pouting: medium-light skin tone 989 | 🙎🏽‍♀️ woman pouting: medium skin tone 990 | 🙎🏽‍♀ woman pouting: medium skin tone 991 | 🙎🏾‍♀️ woman pouting: medium-dark skin tone 992 | 🙎🏾‍♀ woman pouting: medium-dark skin tone 993 | 🙎🏿‍♀️ woman pouting: dark skin tone 994 | 🙎🏿‍♀ woman pouting: dark skin tone 995 | 🙅 person gesturing NO 996 | 🙅🏻 person gesturing NO: light skin tone 997 | 🙅🏼 person gesturing NO: medium-light skin tone 998 | 🙅🏽 person gesturing NO: medium skin tone 999 | 🙅🏾 person gesturing NO: medium-dark skin tone 1000 | 🙅🏿 person gesturing NO: dark skin tone 1001 | 🙅‍♂️ man gesturing NO 1002 | 🙅‍♂ man gesturing NO 1003 | 🙅🏻‍♂️ man gesturing NO: light skin tone 1004 | 🙅🏻‍♂ man gesturing NO: light skin tone 1005 | 🙅🏼‍♂️ man gesturing NO: medium-light skin tone 1006 | 🙅🏼‍♂ man gesturing NO: medium-light skin tone 1007 | 🙅🏽‍♂️ man gesturing NO: medium skin tone 1008 | 🙅🏽‍♂ man gesturing NO: medium skin tone 1009 | 🙅🏾‍♂️ man gesturing NO: medium-dark skin tone 1010 | 🙅🏾‍♂ man gesturing NO: medium-dark skin tone 1011 | 🙅🏿‍♂️ man gesturing NO: dark skin tone 1012 | 🙅🏿‍♂ man gesturing NO: dark skin tone 1013 | 🙅‍♀️ woman gesturing NO 1014 | 🙅‍♀ woman gesturing NO 1015 | 🙅🏻‍♀️ woman gesturing NO: light skin tone 1016 | 🙅🏻‍♀ woman gesturing NO: light skin tone 1017 | 🙅🏼‍♀️ woman gesturing NO: medium-light skin tone 1018 | 🙅🏼‍♀ woman gesturing NO: medium-light skin tone 1019 | 🙅🏽‍♀️ woman gesturing NO: medium skin tone 1020 | 🙅🏽‍♀ woman gesturing NO: medium skin tone 1021 | 🙅🏾‍♀️ woman gesturing NO: medium-dark skin tone 1022 | 🙅🏾‍♀ woman gesturing NO: medium-dark skin tone 1023 | 🙅🏿‍♀️ woman gesturing NO: dark skin tone 1024 | 🙅🏿‍♀ woman gesturing NO: dark skin tone 1025 | 🙆 person gesturing OK 1026 | 🙆🏻 person gesturing OK: light skin tone 1027 | 🙆🏼 person gesturing OK: medium-light skin tone 1028 | 🙆🏽 person gesturing OK: medium skin tone 1029 | 🙆🏾 person gesturing OK: medium-dark skin tone 1030 | 🙆🏿 person gesturing OK: dark skin tone 1031 | 🙆‍♂️ man gesturing OK 1032 | 🙆‍♂ man gesturing OK 1033 | 🙆🏻‍♂️ man gesturing OK: light skin tone 1034 | 🙆🏻‍♂ man gesturing OK: light skin tone 1035 | 🙆🏼‍♂️ man gesturing OK: medium-light skin tone 1036 | 🙆🏼‍♂ man gesturing OK: medium-light skin tone 1037 | 🙆🏽‍♂️ man gesturing OK: medium skin tone 1038 | 🙆🏽‍♂ man gesturing OK: medium skin tone 1039 | 🙆🏾‍♂️ man gesturing OK: medium-dark skin tone 1040 | 🙆🏾‍♂ man gesturing OK: medium-dark skin tone 1041 | 🙆🏿‍♂️ man gesturing OK: dark skin tone 1042 | 🙆🏿‍♂ man gesturing OK: dark skin tone 1043 | 🙆‍♀️ woman gesturing OK 1044 | 🙆‍♀ woman gesturing OK 1045 | 🙆🏻‍♀️ woman gesturing OK: light skin tone 1046 | 🙆🏻‍♀ woman gesturing OK: light skin tone 1047 | 🙆🏼‍♀️ woman gesturing OK: medium-light skin tone 1048 | 🙆🏼‍♀ woman gesturing OK: medium-light skin tone 1049 | 🙆🏽‍♀️ woman gesturing OK: medium skin tone 1050 | 🙆🏽‍♀ woman gesturing OK: medium skin tone 1051 | 🙆🏾‍♀️ woman gesturing OK: medium-dark skin tone 1052 | 🙆🏾‍♀ woman gesturing OK: medium-dark skin tone 1053 | 🙆🏿‍♀️ woman gesturing OK: dark skin tone 1054 | 🙆🏿‍♀ woman gesturing OK: dark skin tone 1055 | 💁 person tipping hand 1056 | 💁🏻 person tipping hand: light skin tone 1057 | 💁🏼 person tipping hand: medium-light skin tone 1058 | 💁🏽 person tipping hand: medium skin tone 1059 | 💁🏾 person tipping hand: medium-dark skin tone 1060 | 💁🏿 person tipping hand: dark skin tone 1061 | 💁‍♂️ man tipping hand 1062 | 💁‍♂ man tipping hand 1063 | 💁🏻‍♂️ man tipping hand: light skin tone 1064 | 💁🏻‍♂ man tipping hand: light skin tone 1065 | 💁🏼‍♂️ man tipping hand: medium-light skin tone 1066 | 💁🏼‍♂ man tipping hand: medium-light skin tone 1067 | 💁🏽‍♂️ man tipping hand: medium skin tone 1068 | 💁🏽‍♂ man tipping hand: medium skin tone 1069 | 💁🏾‍♂️ man tipping hand: medium-dark skin tone 1070 | 💁🏾‍♂ man tipping hand: medium-dark skin tone 1071 | 💁🏿‍♂️ man tipping hand: dark skin tone 1072 | 💁🏿‍♂ man tipping hand: dark skin tone 1073 | 💁‍♀️ woman tipping hand 1074 | 💁‍♀ woman tipping hand 1075 | 💁🏻‍♀️ woman tipping hand: light skin tone 1076 | 💁🏻‍♀ woman tipping hand: light skin tone 1077 | 💁🏼‍♀️ woman tipping hand: medium-light skin tone 1078 | 💁🏼‍♀ woman tipping hand: medium-light skin tone 1079 | 💁🏽‍♀️ woman tipping hand: medium skin tone 1080 | 💁🏽‍♀ woman tipping hand: medium skin tone 1081 | 💁🏾‍♀️ woman tipping hand: medium-dark skin tone 1082 | 💁🏾‍♀ woman tipping hand: medium-dark skin tone 1083 | 💁🏿‍♀️ woman tipping hand: dark skin tone 1084 | 💁🏿‍♀ woman tipping hand: dark skin tone 1085 | 🙋 person raising hand 1086 | 🙋🏻 person raising hand: light skin tone 1087 | 🙋🏼 person raising hand: medium-light skin tone 1088 | 🙋🏽 person raising hand: medium skin tone 1089 | 🙋🏾 person raising hand: medium-dark skin tone 1090 | 🙋🏿 person raising hand: dark skin tone 1091 | 🙋‍♂️ man raising hand 1092 | 🙋‍♂ man raising hand 1093 | 🙋🏻‍♂️ man raising hand: light skin tone 1094 | 🙋🏻‍♂ man raising hand: light skin tone 1095 | 🙋🏼‍♂️ man raising hand: medium-light skin tone 1096 | 🙋🏼‍♂ man raising hand: medium-light skin tone 1097 | 🙋🏽‍♂️ man raising hand: medium skin tone 1098 | 🙋🏽‍♂ man raising hand: medium skin tone 1099 | 🙋🏾‍♂️ man raising hand: medium-dark skin tone 1100 | 🙋🏾‍♂ man raising hand: medium-dark skin tone 1101 | 🙋🏿‍♂️ man raising hand: dark skin tone 1102 | 🙋🏿‍♂ man raising hand: dark skin tone 1103 | 🙋‍♀️ woman raising hand 1104 | 🙋‍♀ woman raising hand 1105 | 🙋🏻‍♀️ woman raising hand: light skin tone 1106 | 🙋🏻‍♀ woman raising hand: light skin tone 1107 | 🙋🏼‍♀️ woman raising hand: medium-light skin tone 1108 | 🙋🏼‍♀ woman raising hand: medium-light skin tone 1109 | 🙋🏽‍♀️ woman raising hand: medium skin tone 1110 | 🙋🏽‍♀ woman raising hand: medium skin tone 1111 | 🙋🏾‍♀️ woman raising hand: medium-dark skin tone 1112 | 🙋🏾‍♀ woman raising hand: medium-dark skin tone 1113 | 🙋🏿‍♀️ woman raising hand: dark skin tone 1114 | 🙋🏿‍♀ woman raising hand: dark skin tone 1115 | 🙇 person bowing 1116 | 🙇🏻 person bowing: light skin tone 1117 | 🙇🏼 person bowing: medium-light skin tone 1118 | 🙇🏽 person bowing: medium skin tone 1119 | 🙇🏾 person bowing: medium-dark skin tone 1120 | 🙇🏿 person bowing: dark skin tone 1121 | 🙇‍♂️ man bowing 1122 | 🙇‍♂ man bowing 1123 | 🙇🏻‍♂️ man bowing: light skin tone 1124 | 🙇🏻‍♂ man bowing: light skin tone 1125 | 🙇🏼‍♂️ man bowing: medium-light skin tone 1126 | 🙇🏼‍♂ man bowing: medium-light skin tone 1127 | 🙇🏽‍♂️ man bowing: medium skin tone 1128 | 🙇🏽‍♂ man bowing: medium skin tone 1129 | 🙇🏾‍♂️ man bowing: medium-dark skin tone 1130 | 🙇🏾‍♂ man bowing: medium-dark skin tone 1131 | 🙇🏿‍♂️ man bowing: dark skin tone 1132 | 🙇🏿‍♂ man bowing: dark skin tone 1133 | 🙇‍♀️ woman bowing 1134 | 🙇‍♀ woman bowing 1135 | 🙇🏻‍♀️ woman bowing: light skin tone 1136 | 🙇🏻‍♀ woman bowing: light skin tone 1137 | 🙇🏼‍♀️ woman bowing: medium-light skin tone 1138 | 🙇🏼‍♀ woman bowing: medium-light skin tone 1139 | 🙇🏽‍♀️ woman bowing: medium skin tone 1140 | 🙇🏽‍♀ woman bowing: medium skin tone 1141 | 🙇🏾‍♀️ woman bowing: medium-dark skin tone 1142 | 🙇🏾‍♀ woman bowing: medium-dark skin tone 1143 | 🙇🏿‍♀️ woman bowing: dark skin tone 1144 | 🙇🏿‍♀ woman bowing: dark skin tone 1145 | 🤦 person facepalming 1146 | 🤦🏻 person facepalming: light skin tone 1147 | 🤦🏼 person facepalming: medium-light skin tone 1148 | 🤦🏽 person facepalming: medium skin tone 1149 | 🤦🏾 person facepalming: medium-dark skin tone 1150 | 🤦🏿 person facepalming: dark skin tone 1151 | 🤦‍♂️ man facepalming 1152 | 🤦‍♂ man facepalming 1153 | 🤦🏻‍♂️ man facepalming: light skin tone 1154 | 🤦🏻‍♂ man facepalming: light skin tone 1155 | 🤦🏼‍♂️ man facepalming: medium-light skin tone 1156 | 🤦🏼‍♂ man facepalming: medium-light skin tone 1157 | 🤦🏽‍♂️ man facepalming: medium skin tone 1158 | 🤦🏽‍♂ man facepalming: medium skin tone 1159 | 🤦🏾‍♂️ man facepalming: medium-dark skin tone 1160 | 🤦🏾‍♂ man facepalming: medium-dark skin tone 1161 | 🤦🏿‍♂️ man facepalming: dark skin tone 1162 | 🤦🏿‍♂ man facepalming: dark skin tone 1163 | 🤦‍♀️ woman facepalming 1164 | 🤦‍♀ woman facepalming 1165 | 🤦🏻‍♀️ woman facepalming: light skin tone 1166 | 🤦🏻‍♀ woman facepalming: light skin tone 1167 | 🤦🏼‍♀️ woman facepalming: medium-light skin tone 1168 | 🤦🏼‍♀ woman facepalming: medium-light skin tone 1169 | 🤦🏽‍♀️ woman facepalming: medium skin tone 1170 | 🤦🏽‍♀ woman facepalming: medium skin tone 1171 | 🤦🏾‍♀️ woman facepalming: medium-dark skin tone 1172 | 🤦🏾‍♀ woman facepalming: medium-dark skin tone 1173 | 🤦🏿‍♀️ woman facepalming: dark skin tone 1174 | 🤦🏿‍♀ woman facepalming: dark skin tone 1175 | 🤷 person shrugging 1176 | 🤷🏻 person shrugging: light skin tone 1177 | 🤷🏼 person shrugging: medium-light skin tone 1178 | 🤷🏽 person shrugging: medium skin tone 1179 | 🤷🏾 person shrugging: medium-dark skin tone 1180 | 🤷🏿 person shrugging: dark skin tone 1181 | 🤷‍♂️ man shrugging 1182 | 🤷‍♂ man shrugging 1183 | 🤷🏻‍♂️ man shrugging: light skin tone 1184 | 🤷🏻‍♂ man shrugging: light skin tone 1185 | 🤷🏼‍♂️ man shrugging: medium-light skin tone 1186 | 🤷🏼‍♂ man shrugging: medium-light skin tone 1187 | 🤷🏽‍♂️ man shrugging: medium skin tone 1188 | 🤷🏽‍♂ man shrugging: medium skin tone 1189 | 🤷🏾‍♂️ man shrugging: medium-dark skin tone 1190 | 🤷🏾‍♂ man shrugging: medium-dark skin tone 1191 | 🤷🏿‍♂️ man shrugging: dark skin tone 1192 | 🤷🏿‍♂ man shrugging: dark skin tone 1193 | 🤷‍♀️ woman shrugging 1194 | 🤷‍♀ woman shrugging 1195 | 🤷🏻‍♀️ woman shrugging: light skin tone 1196 | 🤷🏻‍♀ woman shrugging: light skin tone 1197 | 🤷🏼‍♀️ woman shrugging: medium-light skin tone 1198 | 🤷🏼‍♀ woman shrugging: medium-light skin tone 1199 | 🤷🏽‍♀️ woman shrugging: medium skin tone 1200 | 🤷🏽‍♀ woman shrugging: medium skin tone 1201 | 🤷🏾‍♀️ woman shrugging: medium-dark skin tone 1202 | 🤷🏾‍♀ woman shrugging: medium-dark skin tone 1203 | 🤷🏿‍♀️ woman shrugging: dark skin tone 1204 | 🤷🏿‍♀ woman shrugging: dark skin tone 1205 | 💆 person getting massage 1206 | 💆🏻 person getting massage: light skin tone 1207 | 💆🏼 person getting massage: medium-light skin tone 1208 | 💆🏽 person getting massage: medium skin tone 1209 | 💆🏾 person getting massage: medium-dark skin tone 1210 | 💆🏿 person getting massage: dark skin tone 1211 | 💆‍♂️ man getting massage 1212 | 💆‍♂ man getting massage 1213 | 💆🏻‍♂️ man getting massage: light skin tone 1214 | 💆🏻‍♂ man getting massage: light skin tone 1215 | 💆🏼‍♂️ man getting massage: medium-light skin tone 1216 | 💆🏼‍♂ man getting massage: medium-light skin tone 1217 | 💆🏽‍♂️ man getting massage: medium skin tone 1218 | 💆🏽‍♂ man getting massage: medium skin tone 1219 | 💆🏾‍♂️ man getting massage: medium-dark skin tone 1220 | 💆🏾‍♂ man getting massage: medium-dark skin tone 1221 | 💆🏿‍♂️ man getting massage: dark skin tone 1222 | 💆🏿‍♂ man getting massage: dark skin tone 1223 | 💆‍♀️ woman getting massage 1224 | 💆‍♀ woman getting massage 1225 | 💆🏻‍♀️ woman getting massage: light skin tone 1226 | 💆🏻‍♀ woman getting massage: light skin tone 1227 | 💆🏼‍♀️ woman getting massage: medium-light skin tone 1228 | 💆🏼‍♀ woman getting massage: medium-light skin tone 1229 | 💆🏽‍♀️ woman getting massage: medium skin tone 1230 | 💆🏽‍♀ woman getting massage: medium skin tone 1231 | 💆🏾‍♀️ woman getting massage: medium-dark skin tone 1232 | 💆🏾‍♀ woman getting massage: medium-dark skin tone 1233 | 💆🏿‍♀️ woman getting massage: dark skin tone 1234 | 💆🏿‍♀ woman getting massage: dark skin tone 1235 | 💇 person getting haircut 1236 | 💇🏻 person getting haircut: light skin tone 1237 | 💇🏼 person getting haircut: medium-light skin tone 1238 | 💇🏽 person getting haircut: medium skin tone 1239 | 💇🏾 person getting haircut: medium-dark skin tone 1240 | 💇🏿 person getting haircut: dark skin tone 1241 | 💇‍♂️ man getting haircut 1242 | 💇‍♂ man getting haircut 1243 | 💇🏻‍♂️ man getting haircut: light skin tone 1244 | 💇🏻‍♂ man getting haircut: light skin tone 1245 | 💇🏼‍♂️ man getting haircut: medium-light skin tone 1246 | 💇🏼‍♂ man getting haircut: medium-light skin tone 1247 | 💇🏽‍♂️ man getting haircut: medium skin tone 1248 | 💇🏽‍♂ man getting haircut: medium skin tone 1249 | 💇🏾‍♂️ man getting haircut: medium-dark skin tone 1250 | 💇🏾‍♂ man getting haircut: medium-dark skin tone 1251 | 💇🏿‍♂️ man getting haircut: dark skin tone 1252 | 💇🏿‍♂ man getting haircut: dark skin tone 1253 | 💇‍♀️ woman getting haircut 1254 | 💇‍♀ woman getting haircut 1255 | 💇🏻‍♀️ woman getting haircut: light skin tone 1256 | 💇🏻‍♀ woman getting haircut: light skin tone 1257 | 💇🏼‍♀️ woman getting haircut: medium-light skin tone 1258 | 💇🏼‍♀ woman getting haircut: medium-light skin tone 1259 | 💇🏽‍♀️ woman getting haircut: medium skin tone 1260 | 💇🏽‍♀ woman getting haircut: medium skin tone 1261 | 💇🏾‍♀️ woman getting haircut: medium-dark skin tone 1262 | 💇🏾‍♀ woman getting haircut: medium-dark skin tone 1263 | 💇🏿‍♀️ woman getting haircut: dark skin tone 1264 | 💇🏿‍♀ woman getting haircut: dark skin tone 1265 | 🚶 person walking 1266 | 🚶🏻 person walking: light skin tone 1267 | 🚶🏼 person walking: medium-light skin tone 1268 | 🚶🏽 person walking: medium skin tone 1269 | 🚶🏾 person walking: medium-dark skin tone 1270 | 🚶🏿 person walking: dark skin tone 1271 | 🚶‍♂️ man walking 1272 | 🚶‍♂ man walking 1273 | 🚶🏻‍♂️ man walking: light skin tone 1274 | 🚶🏻‍♂ man walking: light skin tone 1275 | 🚶🏼‍♂️ man walking: medium-light skin tone 1276 | 🚶🏼‍♂ man walking: medium-light skin tone 1277 | 🚶🏽‍♂️ man walking: medium skin tone 1278 | 🚶🏽‍♂ man walking: medium skin tone 1279 | 🚶🏾‍♂️ man walking: medium-dark skin tone 1280 | 🚶🏾‍♂ man walking: medium-dark skin tone 1281 | 🚶🏿‍♂️ man walking: dark skin tone 1282 | 🚶🏿‍♂ man walking: dark skin tone 1283 | 🚶‍♀️ woman walking 1284 | 🚶‍♀ woman walking 1285 | 🚶🏻‍♀️ woman walking: light skin tone 1286 | 🚶🏻‍♀ woman walking: light skin tone 1287 | 🚶🏼‍♀️ woman walking: medium-light skin tone 1288 | 🚶🏼‍♀ woman walking: medium-light skin tone 1289 | 🚶🏽‍♀️ woman walking: medium skin tone 1290 | 🚶🏽‍♀ woman walking: medium skin tone 1291 | 🚶🏾‍♀️ woman walking: medium-dark skin tone 1292 | 🚶🏾‍♀ woman walking: medium-dark skin tone 1293 | 🚶🏿‍♀️ woman walking: dark skin tone 1294 | 🚶🏿‍♀ woman walking: dark skin tone 1295 | 🏃 person running 1296 | 🏃🏻 person running: light skin tone 1297 | 🏃🏼 person running: medium-light skin tone 1298 | 🏃🏽 person running: medium skin tone 1299 | 🏃🏾 person running: medium-dark skin tone 1300 | 🏃🏿 person running: dark skin tone 1301 | 🏃‍♂️ man running 1302 | 🏃‍♂ man running 1303 | 🏃🏻‍♂️ man running: light skin tone 1304 | 🏃🏻‍♂ man running: light skin tone 1305 | 🏃🏼‍♂️ man running: medium-light skin tone 1306 | 🏃🏼‍♂ man running: medium-light skin tone 1307 | 🏃🏽‍♂️ man running: medium skin tone 1308 | 🏃🏽‍♂ man running: medium skin tone 1309 | 🏃🏾‍♂️ man running: medium-dark skin tone 1310 | 🏃🏾‍♂ man running: medium-dark skin tone 1311 | 🏃🏿‍♂️ man running: dark skin tone 1312 | 🏃🏿‍♂ man running: dark skin tone 1313 | 🏃‍♀️ woman running 1314 | 🏃‍♀ woman running 1315 | 🏃🏻‍♀️ woman running: light skin tone 1316 | 🏃🏻‍♀ woman running: light skin tone 1317 | 🏃🏼‍♀️ woman running: medium-light skin tone 1318 | 🏃🏼‍♀ woman running: medium-light skin tone 1319 | 🏃🏽‍♀️ woman running: medium skin tone 1320 | 🏃🏽‍♀ woman running: medium skin tone 1321 | 🏃🏾‍♀️ woman running: medium-dark skin tone 1322 | 🏃🏾‍♀ woman running: medium-dark skin tone 1323 | 🏃🏿‍♀️ woman running: dark skin tone 1324 | 🏃🏿‍♀ woman running: dark skin tone 1325 | 💃 woman dancing 1326 | 💃🏻 woman dancing: light skin tone 1327 | 💃🏼 woman dancing: medium-light skin tone 1328 | 💃🏽 woman dancing: medium skin tone 1329 | 💃🏾 woman dancing: medium-dark skin tone 1330 | 💃🏿 woman dancing: dark skin tone 1331 | 🕺 man dancing 1332 | 🕺🏻 man dancing: light skin tone 1333 | 🕺🏼 man dancing: medium-light skin tone 1334 | 🕺🏽 man dancing: medium skin tone 1335 | 🕺🏾 man dancing: medium-dark skin tone 1336 | 🕺🏿 man dancing: dark skin tone 1337 | 👯 people with bunny ears 1338 | 👯‍♂️ men with bunny ears 1339 | 👯‍♂ men with bunny ears 1340 | 👯‍♀️ women with bunny ears 1341 | 👯‍♀ women with bunny ears 1342 | 🧖 person in steamy room 1343 | 🧖🏻 person in steamy room: light skin tone 1344 | 🧖🏼 person in steamy room: medium-light skin tone 1345 | 🧖🏽 person in steamy room: medium skin tone 1346 | 🧖🏾 person in steamy room: medium-dark skin tone 1347 | 🧖🏿 person in steamy room: dark skin tone 1348 | 🧖‍♀️ woman in steamy room 1349 | 🧖‍♀ woman in steamy room 1350 | 🧖🏻‍♀️ woman in steamy room: light skin tone 1351 | 🧖🏻‍♀ woman in steamy room: light skin tone 1352 | 🧖🏼‍♀️ woman in steamy room: medium-light skin tone 1353 | 🧖🏼‍♀ woman in steamy room: medium-light skin tone 1354 | 🧖🏽‍♀️ woman in steamy room: medium skin tone 1355 | 🧖🏽‍♀ woman in steamy room: medium skin tone 1356 | 🧖🏾‍♀️ woman in steamy room: medium-dark skin tone 1357 | 🧖🏾‍♀ woman in steamy room: medium-dark skin tone 1358 | 🧖🏿‍♀️ woman in steamy room: dark skin tone 1359 | 🧖🏿‍♀ woman in steamy room: dark skin tone 1360 | 🧖‍♂️ man in steamy room 1361 | 🧖‍♂ man in steamy room 1362 | 🧖🏻‍♂️ man in steamy room: light skin tone 1363 | 🧖🏻‍♂ man in steamy room: light skin tone 1364 | 🧖🏼‍♂️ man in steamy room: medium-light skin tone 1365 | 🧖🏼‍♂ man in steamy room: medium-light skin tone 1366 | 🧖🏽‍♂️ man in steamy room: medium skin tone 1367 | 🧖🏽‍♂ man in steamy room: medium skin tone 1368 | 🧖🏾‍♂️ man in steamy room: medium-dark skin tone 1369 | 🧖🏾‍♂ man in steamy room: medium-dark skin tone 1370 | 🧖🏿‍♂️ man in steamy room: dark skin tone 1371 | 🧖🏿‍♂ man in steamy room: dark skin tone 1372 | 🧗 person climbing 1373 | 🧗🏻 person climbing: light skin tone 1374 | 🧗🏼 person climbing: medium-light skin tone 1375 | 🧗🏽 person climbing: medium skin tone 1376 | 🧗🏾 person climbing: medium-dark skin tone 1377 | 🧗🏿 person climbing: dark skin tone 1378 | 🧗‍♀️ woman climbing 1379 | 🧗‍♀ woman climbing 1380 | 🧗🏻‍♀️ woman climbing: light skin tone 1381 | 🧗🏻‍♀ woman climbing: light skin tone 1382 | 🧗🏼‍♀️ woman climbing: medium-light skin tone 1383 | 🧗🏼‍♀ woman climbing: medium-light skin tone 1384 | 🧗🏽‍♀️ woman climbing: medium skin tone 1385 | 🧗🏽‍♀ woman climbing: medium skin tone 1386 | 🧗🏾‍♀️ woman climbing: medium-dark skin tone 1387 | 🧗🏾‍♀ woman climbing: medium-dark skin tone 1388 | 🧗🏿‍♀️ woman climbing: dark skin tone 1389 | 🧗🏿‍♀ woman climbing: dark skin tone 1390 | 🧗‍♂️ man climbing 1391 | 🧗‍♂ man climbing 1392 | 🧗🏻‍♂️ man climbing: light skin tone 1393 | 🧗🏻‍♂ man climbing: light skin tone 1394 | 🧗🏼‍♂️ man climbing: medium-light skin tone 1395 | 🧗🏼‍♂ man climbing: medium-light skin tone 1396 | 🧗🏽‍♂️ man climbing: medium skin tone 1397 | 🧗🏽‍♂ man climbing: medium skin tone 1398 | 🧗🏾‍♂️ man climbing: medium-dark skin tone 1399 | 🧗🏾‍♂ man climbing: medium-dark skin tone 1400 | 🧗🏿‍♂️ man climbing: dark skin tone 1401 | 🧗🏿‍♂ man climbing: dark skin tone 1402 | 🧘 person in lotus position 1403 | 🧘🏻 person in lotus position: light skin tone 1404 | 🧘🏼 person in lotus position: medium-light skin tone 1405 | 🧘🏽 person in lotus position: medium skin tone 1406 | 🧘🏾 person in lotus position: medium-dark skin tone 1407 | 🧘🏿 person in lotus position: dark skin tone 1408 | 🧘‍♀️ woman in lotus position 1409 | 🧘‍♀ woman in lotus position 1410 | 🧘🏻‍♀️ woman in lotus position: light skin tone 1411 | 🧘🏻‍♀ woman in lotus position: light skin tone 1412 | 🧘🏼‍♀️ woman in lotus position: medium-light skin tone 1413 | 🧘🏼‍♀ woman in lotus position: medium-light skin tone 1414 | 🧘🏽‍♀️ woman in lotus position: medium skin tone 1415 | 🧘🏽‍♀ woman in lotus position: medium skin tone 1416 | 🧘🏾‍♀️ woman in lotus position: medium-dark skin tone 1417 | 🧘🏾‍♀ woman in lotus position: medium-dark skin tone 1418 | 🧘🏿‍♀️ woman in lotus position: dark skin tone 1419 | 🧘🏿‍♀ woman in lotus position: dark skin tone 1420 | 🧘‍♂️ man in lotus position 1421 | 🧘‍♂ man in lotus position 1422 | 🧘🏻‍♂️ man in lotus position: light skin tone 1423 | 🧘🏻‍♂ man in lotus position: light skin tone 1424 | 🧘🏼‍♂️ man in lotus position: medium-light skin tone 1425 | 🧘🏼‍♂ man in lotus position: medium-light skin tone 1426 | 🧘🏽‍♂️ man in lotus position: medium skin tone 1427 | 🧘🏽‍♂ man in lotus position: medium skin tone 1428 | 🧘🏾‍♂️ man in lotus position: medium-dark skin tone 1429 | 🧘🏾‍♂ man in lotus position: medium-dark skin tone 1430 | 🧘🏿‍♂️ man in lotus position: dark skin tone 1431 | 🧘🏿‍♂ man in lotus position: dark skin tone 1432 | 🛀 person taking bath 1433 | 🛀🏻 person taking bath: light skin tone 1434 | 🛀🏼 person taking bath: medium-light skin tone 1435 | 🛀🏽 person taking bath: medium skin tone 1436 | 🛀🏾 person taking bath: medium-dark skin tone 1437 | 🛀🏿 person taking bath: dark skin tone 1438 | 🛌 person in bed 1439 | 🛌🏻 person in bed: light skin tone 1440 | 🛌🏼 person in bed: medium-light skin tone 1441 | 🛌🏽 person in bed: medium skin tone 1442 | 🛌🏾 person in bed: medium-dark skin tone 1443 | 🛌🏿 person in bed: dark skin tone 1444 | 🕴️ man in suit levitating 1445 | 🕴 man in suit levitating 1446 | 🕴🏻 man in suit levitating: light skin tone 1447 | 🕴🏼 man in suit levitating: medium-light skin tone 1448 | 🕴🏽 man in suit levitating: medium skin tone 1449 | 🕴🏾 man in suit levitating: medium-dark skin tone 1450 | 🕴🏿 man in suit levitating: dark skin tone 1451 | 🗣️ speaking head 1452 | 🗣 speaking head 1453 | 👤 bust in silhouette 1454 | 👥 busts in silhouette 1455 | 🤺 person fencing 1456 | 🏇 horse racing 1457 | 🏇🏻 horse racing: light skin tone 1458 | 🏇🏼 horse racing: medium-light skin tone 1459 | 🏇🏽 horse racing: medium skin tone 1460 | 🏇🏾 horse racing: medium-dark skin tone 1461 | 🏇🏿 horse racing: dark skin tone 1462 | ⛷️ skier 1463 | ⛷ skier 1464 | 🏂 snowboarder 1465 | 🏂🏻 snowboarder: light skin tone 1466 | 🏂🏼 snowboarder: medium-light skin tone 1467 | 🏂🏽 snowboarder: medium skin tone 1468 | 🏂🏾 snowboarder: medium-dark skin tone 1469 | 🏂🏿 snowboarder: dark skin tone 1470 | 🏌️ person golfing 1471 | 🏌 person golfing 1472 | 🏌🏻 person golfing: light skin tone 1473 | 🏌🏼 person golfing: medium-light skin tone 1474 | 🏌🏽 person golfing: medium skin tone 1475 | 🏌🏾 person golfing: medium-dark skin tone 1476 | 🏌🏿 person golfing: dark skin tone 1477 | 🏌️‍♂️ man golfing 1478 | 🏌‍♂️ man golfing 1479 | 🏌️‍♂ man golfing 1480 | 🏌‍♂ man golfing 1481 | 🏌🏻‍♂️ man golfing: light skin tone 1482 | 🏌🏻‍♂ man golfing: light skin tone 1483 | 🏌🏼‍♂️ man golfing: medium-light skin tone 1484 | 🏌🏼‍♂ man golfing: medium-light skin tone 1485 | 🏌🏽‍♂️ man golfing: medium skin tone 1486 | 🏌🏽‍♂ man golfing: medium skin tone 1487 | 🏌🏾‍♂️ man golfing: medium-dark skin tone 1488 | 🏌🏾‍♂ man golfing: medium-dark skin tone 1489 | 🏌🏿‍♂️ man golfing: dark skin tone 1490 | 🏌🏿‍♂ man golfing: dark skin tone 1491 | 🏌️‍♀️ woman golfing 1492 | 🏌‍♀️ woman golfing 1493 | 🏌️‍♀ woman golfing 1494 | 🏌‍♀ woman golfing 1495 | 🏌🏻‍♀️ woman golfing: light skin tone 1496 | 🏌🏻‍♀ woman golfing: light skin tone 1497 | 🏌🏼‍♀️ woman golfing: medium-light skin tone 1498 | 🏌🏼‍♀ woman golfing: medium-light skin tone 1499 | 🏌🏽‍♀️ woman golfing: medium skin tone 1500 | 🏌🏽‍♀ woman golfing: medium skin tone 1501 | 🏌🏾‍♀️ woman golfing: medium-dark skin tone 1502 | 🏌🏾‍♀ woman golfing: medium-dark skin tone 1503 | 🏌🏿‍♀️ woman golfing: dark skin tone 1504 | 🏌🏿‍♀ woman golfing: dark skin tone 1505 | 🏄 person surfing 1506 | 🏄🏻 person surfing: light skin tone 1507 | 🏄🏼 person surfing: medium-light skin tone 1508 | 🏄🏽 person surfing: medium skin tone 1509 | 🏄🏾 person surfing: medium-dark skin tone 1510 | 🏄🏿 person surfing: dark skin tone 1511 | 🏄‍♂️ man surfing 1512 | 🏄‍♂ man surfing 1513 | 🏄🏻‍♂️ man surfing: light skin tone 1514 | 🏄🏻‍♂ man surfing: light skin tone 1515 | 🏄🏼‍♂️ man surfing: medium-light skin tone 1516 | 🏄🏼‍♂ man surfing: medium-light skin tone 1517 | 🏄🏽‍♂️ man surfing: medium skin tone 1518 | 🏄🏽‍♂ man surfing: medium skin tone 1519 | 🏄🏾‍♂️ man surfing: medium-dark skin tone 1520 | 🏄🏾‍♂ man surfing: medium-dark skin tone 1521 | 🏄🏿‍♂️ man surfing: dark skin tone 1522 | 🏄🏿‍♂ man surfing: dark skin tone 1523 | 🏄‍♀️ woman surfing 1524 | 🏄‍♀ woman surfing 1525 | 🏄🏻‍♀️ woman surfing: light skin tone 1526 | 🏄🏻‍♀ woman surfing: light skin tone 1527 | 🏄🏼‍♀️ woman surfing: medium-light skin tone 1528 | 🏄🏼‍♀ woman surfing: medium-light skin tone 1529 | 🏄🏽‍♀️ woman surfing: medium skin tone 1530 | 🏄🏽‍♀ woman surfing: medium skin tone 1531 | 🏄🏾‍♀️ woman surfing: medium-dark skin tone 1532 | 🏄🏾‍♀ woman surfing: medium-dark skin tone 1533 | 🏄🏿‍♀️ woman surfing: dark skin tone 1534 | 🏄🏿‍♀ woman surfing: dark skin tone 1535 | 🚣 person rowing boat 1536 | 🚣🏻 person rowing boat: light skin tone 1537 | 🚣🏼 person rowing boat: medium-light skin tone 1538 | 🚣🏽 person rowing boat: medium skin tone 1539 | 🚣🏾 person rowing boat: medium-dark skin tone 1540 | 🚣🏿 person rowing boat: dark skin tone 1541 | 🚣‍♂️ man rowing boat 1542 | 🚣‍♂ man rowing boat 1543 | 🚣🏻‍♂️ man rowing boat: light skin tone 1544 | 🚣🏻‍♂ man rowing boat: light skin tone 1545 | 🚣🏼‍♂️ man rowing boat: medium-light skin tone 1546 | 🚣🏼‍♂ man rowing boat: medium-light skin tone 1547 | 🚣🏽‍♂️ man rowing boat: medium skin tone 1548 | 🚣🏽‍♂ man rowing boat: medium skin tone 1549 | 🚣🏾‍♂️ man rowing boat: medium-dark skin tone 1550 | 🚣🏾‍♂ man rowing boat: medium-dark skin tone 1551 | 🚣🏿‍♂️ man rowing boat: dark skin tone 1552 | 🚣🏿‍♂ man rowing boat: dark skin tone 1553 | 🚣‍♀️ woman rowing boat 1554 | 🚣‍♀ woman rowing boat 1555 | 🚣🏻‍♀️ woman rowing boat: light skin tone 1556 | 🚣🏻‍♀ woman rowing boat: light skin tone 1557 | 🚣🏼‍♀️ woman rowing boat: medium-light skin tone 1558 | 🚣🏼‍♀ woman rowing boat: medium-light skin tone 1559 | 🚣🏽‍♀️ woman rowing boat: medium skin tone 1560 | 🚣🏽‍♀ woman rowing boat: medium skin tone 1561 | 🚣🏾‍♀️ woman rowing boat: medium-dark skin tone 1562 | 🚣🏾‍♀ woman rowing boat: medium-dark skin tone 1563 | 🚣🏿‍♀️ woman rowing boat: dark skin tone 1564 | 🚣🏿‍♀ woman rowing boat: dark skin tone 1565 | 🏊 person swimming 1566 | 🏊🏻 person swimming: light skin tone 1567 | 🏊🏼 person swimming: medium-light skin tone 1568 | 🏊🏽 person swimming: medium skin tone 1569 | 🏊🏾 person swimming: medium-dark skin tone 1570 | 🏊🏿 person swimming: dark skin tone 1571 | 🏊‍♂️ man swimming 1572 | 🏊‍♂ man swimming 1573 | 🏊🏻‍♂️ man swimming: light skin tone 1574 | 🏊🏻‍♂ man swimming: light skin tone 1575 | 🏊🏼‍♂️ man swimming: medium-light skin tone 1576 | 🏊🏼‍♂ man swimming: medium-light skin tone 1577 | 🏊🏽‍♂️ man swimming: medium skin tone 1578 | 🏊🏽‍♂ man swimming: medium skin tone 1579 | 🏊🏾‍♂️ man swimming: medium-dark skin tone 1580 | 🏊🏾‍♂ man swimming: medium-dark skin tone 1581 | 🏊🏿‍♂️ man swimming: dark skin tone 1582 | 🏊🏿‍♂ man swimming: dark skin tone 1583 | 🏊‍♀️ woman swimming 1584 | 🏊‍♀ woman swimming 1585 | 🏊🏻‍♀️ woman swimming: light skin tone 1586 | 🏊🏻‍♀ woman swimming: light skin tone 1587 | 🏊🏼‍♀️ woman swimming: medium-light skin tone 1588 | 🏊🏼‍♀ woman swimming: medium-light skin tone 1589 | 🏊🏽‍♀️ woman swimming: medium skin tone 1590 | 🏊🏽‍♀ woman swimming: medium skin tone 1591 | 🏊🏾‍♀️ woman swimming: medium-dark skin tone 1592 | 🏊🏾‍♀ woman swimming: medium-dark skin tone 1593 | 🏊🏿‍♀️ woman swimming: dark skin tone 1594 | 🏊🏿‍♀ woman swimming: dark skin tone 1595 | ⛹️ person bouncing ball 1596 | ⛹ person bouncing ball 1597 | ⛹🏻 person bouncing ball: light skin tone 1598 | ⛹🏼 person bouncing ball: medium-light skin tone 1599 | ⛹🏽 person bouncing ball: medium skin tone 1600 | ⛹🏾 person bouncing ball: medium-dark skin tone 1601 | ⛹🏿 person bouncing ball: dark skin tone 1602 | ⛹️‍♂️ man bouncing ball 1603 | ⛹‍♂️ man bouncing ball 1604 | ⛹️‍♂ man bouncing ball 1605 | ⛹‍♂ man bouncing ball 1606 | ⛹🏻‍♂️ man bouncing ball: light skin tone 1607 | ⛹🏻‍♂ man bouncing ball: light skin tone 1608 | ⛹🏼‍♂️ man bouncing ball: medium-light skin tone 1609 | ⛹🏼‍♂ man bouncing ball: medium-light skin tone 1610 | ⛹🏽‍♂️ man bouncing ball: medium skin tone 1611 | ⛹🏽‍♂ man bouncing ball: medium skin tone 1612 | ⛹🏾‍♂️ man bouncing ball: medium-dark skin tone 1613 | ⛹🏾‍♂ man bouncing ball: medium-dark skin tone 1614 | ⛹🏿‍♂️ man bouncing ball: dark skin tone 1615 | ⛹🏿‍♂ man bouncing ball: dark skin tone 1616 | ⛹️‍♀️ woman bouncing ball 1617 | ⛹‍♀️ woman bouncing ball 1618 | ⛹️‍♀ woman bouncing ball 1619 | ⛹‍♀ woman bouncing ball 1620 | ⛹🏻‍♀️ woman bouncing ball: light skin tone 1621 | ⛹🏻‍♀ woman bouncing ball: light skin tone 1622 | ⛹🏼‍♀️ woman bouncing ball: medium-light skin tone 1623 | ⛹🏼‍♀ woman bouncing ball: medium-light skin tone 1624 | ⛹🏽‍♀️ woman bouncing ball: medium skin tone 1625 | ⛹🏽‍♀ woman bouncing ball: medium skin tone 1626 | ⛹🏾‍♀️ woman bouncing ball: medium-dark skin tone 1627 | ⛹🏾‍♀ woman bouncing ball: medium-dark skin tone 1628 | ⛹🏿‍♀️ woman bouncing ball: dark skin tone 1629 | ⛹🏿‍♀ woman bouncing ball: dark skin tone 1630 | 🏋️ person lifting weights 1631 | 🏋 person lifting weights 1632 | 🏋🏻 person lifting weights: light skin tone 1633 | 🏋🏼 person lifting weights: medium-light skin tone 1634 | 🏋🏽 person lifting weights: medium skin tone 1635 | 🏋🏾 person lifting weights: medium-dark skin tone 1636 | 🏋🏿 person lifting weights: dark skin tone 1637 | 🏋️‍♂️ man lifting weights 1638 | 🏋‍♂️ man lifting weights 1639 | 🏋️‍♂ man lifting weights 1640 | 🏋‍♂ man lifting weights 1641 | 🏋🏻‍♂️ man lifting weights: light skin tone 1642 | 🏋🏻‍♂ man lifting weights: light skin tone 1643 | 🏋🏼‍♂️ man lifting weights: medium-light skin tone 1644 | 🏋🏼‍♂ man lifting weights: medium-light skin tone 1645 | 🏋🏽‍♂️ man lifting weights: medium skin tone 1646 | 🏋🏽‍♂ man lifting weights: medium skin tone 1647 | 🏋🏾‍♂️ man lifting weights: medium-dark skin tone 1648 | 🏋🏾‍♂ man lifting weights: medium-dark skin tone 1649 | 🏋🏿‍♂️ man lifting weights: dark skin tone 1650 | 🏋🏿‍♂ man lifting weights: dark skin tone 1651 | 🏋️‍♀️ woman lifting weights 1652 | 🏋‍♀️ woman lifting weights 1653 | 🏋️‍♀ woman lifting weights 1654 | 🏋‍♀ woman lifting weights 1655 | 🏋🏻‍♀️ woman lifting weights: light skin tone 1656 | 🏋🏻‍♀ woman lifting weights: light skin tone 1657 | 🏋🏼‍♀️ woman lifting weights: medium-light skin tone 1658 | 🏋🏼‍♀ woman lifting weights: medium-light skin tone 1659 | 🏋🏽‍♀️ woman lifting weights: medium skin tone 1660 | 🏋🏽‍♀ woman lifting weights: medium skin tone 1661 | 🏋🏾‍♀️ woman lifting weights: medium-dark skin tone 1662 | 🏋🏾‍♀ woman lifting weights: medium-dark skin tone 1663 | 🏋🏿‍♀️ woman lifting weights: dark skin tone 1664 | 🏋🏿‍♀ woman lifting weights: dark skin tone 1665 | 🚴 person biking 1666 | 🚴🏻 person biking: light skin tone 1667 | 🚴🏼 person biking: medium-light skin tone 1668 | 🚴🏽 person biking: medium skin tone 1669 | 🚴🏾 person biking: medium-dark skin tone 1670 | 🚴🏿 person biking: dark skin tone 1671 | 🚴‍♂️ man biking 1672 | 🚴‍♂ man biking 1673 | 🚴🏻‍♂️ man biking: light skin tone 1674 | 🚴🏻‍♂ man biking: light skin tone 1675 | 🚴🏼‍♂️ man biking: medium-light skin tone 1676 | 🚴🏼‍♂ man biking: medium-light skin tone 1677 | 🚴🏽‍♂️ man biking: medium skin tone 1678 | 🚴🏽‍♂ man biking: medium skin tone 1679 | 🚴🏾‍♂️ man biking: medium-dark skin tone 1680 | 🚴🏾‍♂ man biking: medium-dark skin tone 1681 | 🚴🏿‍♂️ man biking: dark skin tone 1682 | 🚴🏿‍♂ man biking: dark skin tone 1683 | 🚴‍♀️ woman biking 1684 | 🚴‍♀ woman biking 1685 | 🚴🏻‍♀️ woman biking: light skin tone 1686 | 🚴🏻‍♀ woman biking: light skin tone 1687 | 🚴🏼‍♀️ woman biking: medium-light skin tone 1688 | 🚴🏼‍♀ woman biking: medium-light skin tone 1689 | 🚴🏽‍♀️ woman biking: medium skin tone 1690 | 🚴🏽‍♀ woman biking: medium skin tone 1691 | 🚴🏾‍♀️ woman biking: medium-dark skin tone 1692 | 🚴🏾‍♀ woman biking: medium-dark skin tone 1693 | 🚴🏿‍♀️ woman biking: dark skin tone 1694 | 🚴🏿‍♀ woman biking: dark skin tone 1695 | 🚵 person mountain biking 1696 | 🚵🏻 person mountain biking: light skin tone 1697 | 🚵🏼 person mountain biking: medium-light skin tone 1698 | 🚵🏽 person mountain biking: medium skin tone 1699 | 🚵🏾 person mountain biking: medium-dark skin tone 1700 | 🚵🏿 person mountain biking: dark skin tone 1701 | 🚵‍♂️ man mountain biking 1702 | 🚵‍♂ man mountain biking 1703 | 🚵🏻‍♂️ man mountain biking: light skin tone 1704 | 🚵🏻‍♂ man mountain biking: light skin tone 1705 | 🚵🏼‍♂️ man mountain biking: medium-light skin tone 1706 | 🚵🏼‍♂ man mountain biking: medium-light skin tone 1707 | 🚵🏽‍♂️ man mountain biking: medium skin tone 1708 | 🚵🏽‍♂ man mountain biking: medium skin tone 1709 | 🚵🏾‍♂️ man mountain biking: medium-dark skin tone 1710 | 🚵🏾‍♂ man mountain biking: medium-dark skin tone 1711 | 🚵🏿‍♂️ man mountain biking: dark skin tone 1712 | 🚵🏿‍♂ man mountain biking: dark skin tone 1713 | 🚵‍♀️ woman mountain biking 1714 | 🚵‍♀ woman mountain biking 1715 | 🚵🏻‍♀️ woman mountain biking: light skin tone 1716 | 🚵🏻‍♀ woman mountain biking: light skin tone 1717 | 🚵🏼‍♀️ woman mountain biking: medium-light skin tone 1718 | 🚵🏼‍♀ woman mountain biking: medium-light skin tone 1719 | 🚵🏽‍♀️ woman mountain biking: medium skin tone 1720 | 🚵🏽‍♀ woman mountain biking: medium skin tone 1721 | 🚵🏾‍♀️ woman mountain biking: medium-dark skin tone 1722 | 🚵🏾‍♀ woman mountain biking: medium-dark skin tone 1723 | 🚵🏿‍♀️ woman mountain biking: dark skin tone 1724 | 🚵🏿‍♀ woman mountain biking: dark skin tone 1725 | 🏎️ racing car 1726 | 🏎 racing car 1727 | 🏍️ motorcycle 1728 | 🏍 motorcycle 1729 | 🤸 person cartwheeling 1730 | 🤸🏻 person cartwheeling: light skin tone 1731 | 🤸🏼 person cartwheeling: medium-light skin tone 1732 | 🤸🏽 person cartwheeling: medium skin tone 1733 | 🤸🏾 person cartwheeling: medium-dark skin tone 1734 | 🤸🏿 person cartwheeling: dark skin tone 1735 | 🤸‍♂️ man cartwheeling 1736 | 🤸‍♂ man cartwheeling 1737 | 🤸🏻‍♂️ man cartwheeling: light skin tone 1738 | 🤸🏻‍♂ man cartwheeling: light skin tone 1739 | 🤸🏼‍♂️ man cartwheeling: medium-light skin tone 1740 | 🤸🏼‍♂ man cartwheeling: medium-light skin tone 1741 | 🤸🏽‍♂️ man cartwheeling: medium skin tone 1742 | 🤸🏽‍♂ man cartwheeling: medium skin tone 1743 | 🤸🏾‍♂️ man cartwheeling: medium-dark skin tone 1744 | 🤸🏾‍♂ man cartwheeling: medium-dark skin tone 1745 | 🤸🏿‍♂️ man cartwheeling: dark skin tone 1746 | 🤸🏿‍♂ man cartwheeling: dark skin tone 1747 | 🤸‍♀️ woman cartwheeling 1748 | 🤸‍♀ woman cartwheeling 1749 | 🤸🏻‍♀️ woman cartwheeling: light skin tone 1750 | 🤸🏻‍♀ woman cartwheeling: light skin tone 1751 | 🤸🏼‍♀️ woman cartwheeling: medium-light skin tone 1752 | 🤸🏼‍♀ woman cartwheeling: medium-light skin tone 1753 | 🤸🏽‍♀️ woman cartwheeling: medium skin tone 1754 | 🤸🏽‍♀ woman cartwheeling: medium skin tone 1755 | 🤸🏾‍♀️ woman cartwheeling: medium-dark skin tone 1756 | 🤸🏾‍♀ woman cartwheeling: medium-dark skin tone 1757 | 🤸🏿‍♀️ woman cartwheeling: dark skin tone 1758 | 🤸🏿‍♀ woman cartwheeling: dark skin tone 1759 | 🤼 people wrestling 1760 | 🤼‍♂️ men wrestling 1761 | 🤼‍♂ men wrestling 1762 | 🤼‍♀️ women wrestling 1763 | 🤼‍♀ women wrestling 1764 | 🤽 person playing water polo 1765 | 🤽🏻 person playing water polo: light skin tone 1766 | 🤽🏼 person playing water polo: medium-light skin tone 1767 | 🤽🏽 person playing water polo: medium skin tone 1768 | 🤽🏾 person playing water polo: medium-dark skin tone 1769 | 🤽🏿 person playing water polo: dark skin tone 1770 | 🤽‍♂️ man playing water polo 1771 | 🤽‍♂ man playing water polo 1772 | 🤽🏻‍♂️ man playing water polo: light skin tone 1773 | 🤽🏻‍♂ man playing water polo: light skin tone 1774 | 🤽🏼‍♂️ man playing water polo: medium-light skin tone 1775 | 🤽🏼‍♂ man playing water polo: medium-light skin tone 1776 | 🤽🏽‍♂️ man playing water polo: medium skin tone 1777 | 🤽🏽‍♂ man playing water polo: medium skin tone 1778 | 🤽🏾‍♂️ man playing water polo: medium-dark skin tone 1779 | 🤽🏾‍♂ man playing water polo: medium-dark skin tone 1780 | 🤽🏿‍♂️ man playing water polo: dark skin tone 1781 | 🤽🏿‍♂ man playing water polo: dark skin tone 1782 | 🤽‍♀️ woman playing water polo 1783 | 🤽‍♀ woman playing water polo 1784 | 🤽🏻‍♀️ woman playing water polo: light skin tone 1785 | 🤽🏻‍♀ woman playing water polo: light skin tone 1786 | 🤽🏼‍♀️ woman playing water polo: medium-light skin tone 1787 | 🤽🏼‍♀ woman playing water polo: medium-light skin tone 1788 | 🤽🏽‍♀️ woman playing water polo: medium skin tone 1789 | 🤽🏽‍♀ woman playing water polo: medium skin tone 1790 | 🤽🏾‍♀️ woman playing water polo: medium-dark skin tone 1791 | 🤽🏾‍♀ woman playing water polo: medium-dark skin tone 1792 | 🤽🏿‍♀️ woman playing water polo: dark skin tone 1793 | 🤽🏿‍♀ woman playing water polo: dark skin tone 1794 | 🤾 person playing handball 1795 | 🤾🏻 person playing handball: light skin tone 1796 | 🤾🏼 person playing handball: medium-light skin tone 1797 | 🤾🏽 person playing handball: medium skin tone 1798 | 🤾🏾 person playing handball: medium-dark skin tone 1799 | 🤾🏿 person playing handball: dark skin tone 1800 | 🤾‍♂️ man playing handball 1801 | 🤾‍♂ man playing handball 1802 | 🤾🏻‍♂️ man playing handball: light skin tone 1803 | 🤾🏻‍♂ man playing handball: light skin tone 1804 | 🤾🏼‍♂️ man playing handball: medium-light skin tone 1805 | 🤾🏼‍♂ man playing handball: medium-light skin tone 1806 | 🤾🏽‍♂️ man playing handball: medium skin tone 1807 | 🤾🏽‍♂ man playing handball: medium skin tone 1808 | 🤾🏾‍♂️ man playing handball: medium-dark skin tone 1809 | 🤾🏾‍♂ man playing handball: medium-dark skin tone 1810 | 🤾🏿‍♂️ man playing handball: dark skin tone 1811 | 🤾🏿‍♂ man playing handball: dark skin tone 1812 | 🤾‍♀️ woman playing handball 1813 | 🤾‍♀ woman playing handball 1814 | 🤾🏻‍♀️ woman playing handball: light skin tone 1815 | 🤾🏻‍♀ woman playing handball: light skin tone 1816 | 🤾🏼‍♀️ woman playing handball: medium-light skin tone 1817 | 🤾🏼‍♀ woman playing handball: medium-light skin tone 1818 | 🤾🏽‍♀️ woman playing handball: medium skin tone 1819 | 🤾🏽‍♀ woman playing handball: medium skin tone 1820 | 🤾🏾‍♀️ woman playing handball: medium-dark skin tone 1821 | 🤾🏾‍♀ woman playing handball: medium-dark skin tone 1822 | 🤾🏿‍♀️ woman playing handball: dark skin tone 1823 | 🤾🏿‍♀ woman playing handball: dark skin tone 1824 | 🤹 person juggling 1825 | 🤹🏻 person juggling: light skin tone 1826 | 🤹🏼 person juggling: medium-light skin tone 1827 | 🤹🏽 person juggling: medium skin tone 1828 | 🤹🏾 person juggling: medium-dark skin tone 1829 | 🤹🏿 person juggling: dark skin tone 1830 | 🤹‍♂️ man juggling 1831 | 🤹‍♂ man juggling 1832 | 🤹🏻‍♂️ man juggling: light skin tone 1833 | 🤹🏻‍♂ man juggling: light skin tone 1834 | 🤹🏼‍♂️ man juggling: medium-light skin tone 1835 | 🤹🏼‍♂ man juggling: medium-light skin tone 1836 | 🤹🏽‍♂️ man juggling: medium skin tone 1837 | 🤹🏽‍♂ man juggling: medium skin tone 1838 | 🤹🏾‍♂️ man juggling: medium-dark skin tone 1839 | 🤹🏾‍♂ man juggling: medium-dark skin tone 1840 | 🤹🏿‍♂️ man juggling: dark skin tone 1841 | 🤹🏿‍♂ man juggling: dark skin tone 1842 | 🤹‍♀️ woman juggling 1843 | 🤹‍♀ woman juggling 1844 | 🤹🏻‍♀️ woman juggling: light skin tone 1845 | 🤹🏻‍♀ woman juggling: light skin tone 1846 | 🤹🏼‍♀️ woman juggling: medium-light skin tone 1847 | 🤹🏼‍♀ woman juggling: medium-light skin tone 1848 | 🤹🏽‍♀️ woman juggling: medium skin tone 1849 | 🤹🏽‍♀ woman juggling: medium skin tone 1850 | 🤹🏾‍♀️ woman juggling: medium-dark skin tone 1851 | 🤹🏾‍♀ woman juggling: medium-dark skin tone 1852 | 🤹🏿‍♀️ woman juggling: dark skin tone 1853 | 🤹🏿‍♀ woman juggling: dark skin tone 1854 | 👫 man and woman holding hands 1855 | 👬 two men holding hands 1856 | 👭 two women holding hands 1857 | 💏 kiss 1858 | 👩‍❤️‍💋‍👨 kiss: woman, man 1859 | 👩‍❤‍💋‍👨 kiss: woman, man 1860 | 👨‍❤️‍💋‍👨 kiss: man, man 1861 | 👨‍❤‍💋‍👨 kiss: man, man 1862 | 👩‍❤️‍💋‍👩 kiss: woman, woman 1863 | 👩‍❤‍💋‍👩 kiss: woman, woman 1864 | 💑 couple with heart 1865 | 👩‍❤️‍👨 couple with heart: woman, man 1866 | 👩‍❤‍👨 couple with heart: woman, man 1867 | 👨‍❤️‍👨 couple with heart: man, man 1868 | 👨‍❤‍👨 couple with heart: man, man 1869 | 👩‍❤️‍👩 couple with heart: woman, woman 1870 | 👩‍❤‍👩 couple with heart: woman, woman 1871 | 👪 family 1872 | 👨‍👩‍👦 family: man, woman, boy 1873 | 👨‍👩‍👧 family: man, woman, girl 1874 | 👨‍👩‍👧‍👦 family: man, woman, girl, boy 1875 | 👨‍👩‍👦‍👦 family: man, woman, boy, boy 1876 | 👨‍👩‍👧‍👧 family: man, woman, girl, girl 1877 | 👨‍👨‍👦 family: man, man, boy 1878 | 👨‍👨‍👧 family: man, man, girl 1879 | 👨‍👨‍👧‍👦 family: man, man, girl, boy 1880 | 👨‍👨‍👦‍👦 family: man, man, boy, boy 1881 | 👨‍👨‍👧‍👧 family: man, man, girl, girl 1882 | 👩‍👩‍👦 family: woman, woman, boy 1883 | 👩‍👩‍👧 family: woman, woman, girl 1884 | 👩‍👩‍👧‍👦 family: woman, woman, girl, boy 1885 | 👩‍👩‍👦‍👦 family: woman, woman, boy, boy 1886 | 👩‍👩‍👧‍👧 family: woman, woman, girl, girl 1887 | 👨‍👦 family: man, boy 1888 | 👨‍👦‍👦 family: man, boy, boy 1889 | 👨‍👧 family: man, girl 1890 | 👨‍👧‍👦 family: man, girl, boy 1891 | 👨‍👧‍👧 family: man, girl, girl 1892 | 👩‍👦 family: woman, boy 1893 | 👩‍👦‍👦 family: woman, boy, boy 1894 | 👩‍👧 family: woman, girl 1895 | 👩‍👧‍👦 family: woman, girl, boy 1896 | 👩‍👧‍👧 family: woman, girl, girl 1897 | 🤳 selfie 1898 | 🤳🏻 selfie: light skin tone 1899 | 🤳🏼 selfie: medium-light skin tone 1900 | 🤳🏽 selfie: medium skin tone 1901 | 🤳🏾 selfie: medium-dark skin tone 1902 | 🤳🏿 selfie: dark skin tone 1903 | 💪 flexed biceps 1904 | 💪🏻 flexed biceps: light skin tone 1905 | 💪🏼 flexed biceps: medium-light skin tone 1906 | 💪🏽 flexed biceps: medium skin tone 1907 | 💪🏾 flexed biceps: medium-dark skin tone 1908 | 💪🏿 flexed biceps: dark skin tone 1909 | 🦵 leg 1910 | 🦵🏻 leg: light skin tone 1911 | 🦵🏼 leg: medium-light skin tone 1912 | 🦵🏽 leg: medium skin tone 1913 | 🦵🏾 leg: medium-dark skin tone 1914 | 🦵🏿 leg: dark skin tone 1915 | 🦶 foot 1916 | 🦶🏻 foot: light skin tone 1917 | 🦶🏼 foot: medium-light skin tone 1918 | 🦶🏽 foot: medium skin tone 1919 | 🦶🏾 foot: medium-dark skin tone 1920 | 🦶🏿 foot: dark skin tone 1921 | 👈 backhand index pointing left 1922 | 👈🏻 backhand index pointing left: light skin tone 1923 | 👈🏼 backhand index pointing left: medium-light skin tone 1924 | 👈🏽 backhand index pointing left: medium skin tone 1925 | 👈🏾 backhand index pointing left: medium-dark skin tone 1926 | 👈🏿 backhand index pointing left: dark skin tone 1927 | 👉 backhand index pointing right 1928 | 👉🏻 backhand index pointing right: light skin tone 1929 | 👉🏼 backhand index pointing right: medium-light skin tone 1930 | 👉🏽 backhand index pointing right: medium skin tone 1931 | 👉🏾 backhand index pointing right: medium-dark skin tone 1932 | 👉🏿 backhand index pointing right: dark skin tone 1933 | ☝️ index pointing up 1934 | ☝ index pointing up 1935 | ☝🏻 index pointing up: light skin tone 1936 | ☝🏼 index pointing up: medium-light skin tone 1937 | ☝🏽 index pointing up: medium skin tone 1938 | ☝🏾 index pointing up: medium-dark skin tone 1939 | ☝🏿 index pointing up: dark skin tone 1940 | 👆 backhand index pointing up 1941 | 👆🏻 backhand index pointing up: light skin tone 1942 | 👆🏼 backhand index pointing up: medium-light skin tone 1943 | 👆🏽 backhand index pointing up: medium skin tone 1944 | 👆🏾 backhand index pointing up: medium-dark skin tone 1945 | 👆🏿 backhand index pointing up: dark skin tone 1946 | 🖕 middle finger 1947 | 🖕🏻 middle finger: light skin tone 1948 | 🖕🏼 middle finger: medium-light skin tone 1949 | 🖕🏽 middle finger: medium skin tone 1950 | 🖕🏾 middle finger: medium-dark skin tone 1951 | 🖕🏿 middle finger: dark skin tone 1952 | 👇 backhand index pointing down 1953 | 👇🏻 backhand index pointing down: light skin tone 1954 | 👇🏼 backhand index pointing down: medium-light skin tone 1955 | 👇🏽 backhand index pointing down: medium skin tone 1956 | 👇🏾 backhand index pointing down: medium-dark skin tone 1957 | 👇🏿 backhand index pointing down: dark skin tone 1958 | ✌️ victory hand 1959 | ✌ victory hand 1960 | ✌🏻 victory hand: light skin tone 1961 | ✌🏼 victory hand: medium-light skin tone 1962 | ✌🏽 victory hand: medium skin tone 1963 | ✌🏾 victory hand: medium-dark skin tone 1964 | ✌🏿 victory hand: dark skin tone 1965 | 🤞 crossed fingers 1966 | 🤞🏻 crossed fingers: light skin tone 1967 | 🤞🏼 crossed fingers: medium-light skin tone 1968 | 🤞🏽 crossed fingers: medium skin tone 1969 | 🤞🏾 crossed fingers: medium-dark skin tone 1970 | 🤞🏿 crossed fingers: dark skin tone 1971 | 🖖 vulcan salute 1972 | 🖖🏻 vulcan salute: light skin tone 1973 | 🖖🏼 vulcan salute: medium-light skin tone 1974 | 🖖🏽 vulcan salute: medium skin tone 1975 | 🖖🏾 vulcan salute: medium-dark skin tone 1976 | 🖖🏿 vulcan salute: dark skin tone 1977 | 🤘 sign of the horns 1978 | 🤘🏻 sign of the horns: light skin tone 1979 | 🤘🏼 sign of the horns: medium-light skin tone 1980 | 🤘🏽 sign of the horns: medium skin tone 1981 | 🤘🏾 sign of the horns: medium-dark skin tone 1982 | 🤘🏿 sign of the horns: dark skin tone 1983 | 🤙 call me hand 1984 | 🤙🏻 call me hand: light skin tone 1985 | 🤙🏼 call me hand: medium-light skin tone 1986 | 🤙🏽 call me hand: medium skin tone 1987 | 🤙🏾 call me hand: medium-dark skin tone 1988 | 🤙🏿 call me hand: dark skin tone 1989 | 🖐️ hand with fingers splayed 1990 | 🖐 hand with fingers splayed 1991 | 🖐🏻 hand with fingers splayed: light skin tone 1992 | 🖐🏼 hand with fingers splayed: medium-light skin tone 1993 | 🖐🏽 hand with fingers splayed: medium skin tone 1994 | 🖐🏾 hand with fingers splayed: medium-dark skin tone 1995 | 🖐🏿 hand with fingers splayed: dark skin tone 1996 | ✋ raised hand 1997 | ✋🏻 raised hand: light skin tone 1998 | ✋🏼 raised hand: medium-light skin tone 1999 | ✋🏽 raised hand: medium skin tone 2000 | ✋🏾 raised hand: medium-dark skin tone 2001 | ✋🏿 raised hand: dark skin tone 2002 | 👌 OK hand 2003 | 👌🏻 OK hand: light skin tone 2004 | 👌🏼 OK hand: medium-light skin tone 2005 | 👌🏽 OK hand: medium skin tone 2006 | 👌🏾 OK hand: medium-dark skin tone 2007 | 👌🏿 OK hand: dark skin tone 2008 | 👍 thumbs up 2009 | 👍🏻 thumbs up: light skin tone 2010 | 👍🏼 thumbs up: medium-light skin tone 2011 | 👍🏽 thumbs up: medium skin tone 2012 | 👍🏾 thumbs up: medium-dark skin tone 2013 | 👍🏿 thumbs up: dark skin tone 2014 | 👎 thumbs down 2015 | 👎🏻 thumbs down: light skin tone 2016 | 👎🏼 thumbs down: medium-light skin tone 2017 | 👎🏽 thumbs down: medium skin tone 2018 | 👎🏾 thumbs down: medium-dark skin tone 2019 | 👎🏿 thumbs down: dark skin tone 2020 | ✊ raised fist 2021 | ✊🏻 raised fist: light skin tone 2022 | ✊🏼 raised fist: medium-light skin tone 2023 | ✊🏽 raised fist: medium skin tone 2024 | ✊🏾 raised fist: medium-dark skin tone 2025 | ✊🏿 raised fist: dark skin tone 2026 | 👊 oncoming fist 2027 | 👊🏻 oncoming fist: light skin tone 2028 | 👊🏼 oncoming fist: medium-light skin tone 2029 | 👊🏽 oncoming fist: medium skin tone 2030 | 👊🏾 oncoming fist: medium-dark skin tone 2031 | 👊🏿 oncoming fist: dark skin tone 2032 | 🤛 left-facing fist 2033 | 🤛🏻 left-facing fist: light skin tone 2034 | 🤛🏼 left-facing fist: medium-light skin tone 2035 | 🤛🏽 left-facing fist: medium skin tone 2036 | 🤛🏾 left-facing fist: medium-dark skin tone 2037 | 🤛🏿 left-facing fist: dark skin tone 2038 | 🤜 right-facing fist 2039 | 🤜🏻 right-facing fist: light skin tone 2040 | 🤜🏼 right-facing fist: medium-light skin tone 2041 | 🤜🏽 right-facing fist: medium skin tone 2042 | 🤜🏾 right-facing fist: medium-dark skin tone 2043 | 🤜🏿 right-facing fist: dark skin tone 2044 | 🤚 raised back of hand 2045 | 🤚🏻 raised back of hand: light skin tone 2046 | 🤚🏼 raised back of hand: medium-light skin tone 2047 | 🤚🏽 raised back of hand: medium skin tone 2048 | 🤚🏾 raised back of hand: medium-dark skin tone 2049 | 🤚🏿 raised back of hand: dark skin tone 2050 | 👋 waving hand 2051 | 👋🏻 waving hand: light skin tone 2052 | 👋🏼 waving hand: medium-light skin tone 2053 | 👋🏽 waving hand: medium skin tone 2054 | 👋🏾 waving hand: medium-dark skin tone 2055 | 👋🏿 waving hand: dark skin tone 2056 | 🤟 love-you gesture 2057 | 🤟🏻 love-you gesture: light skin tone 2058 | 🤟🏼 love-you gesture: medium-light skin tone 2059 | 🤟🏽 love-you gesture: medium skin tone 2060 | 🤟🏾 love-you gesture: medium-dark skin tone 2061 | 🤟🏿 love-you gesture: dark skin tone 2062 | ✍️ writing hand 2063 | ✍ writing hand 2064 | ✍🏻 writing hand: light skin tone 2065 | ✍🏼 writing hand: medium-light skin tone 2066 | ✍🏽 writing hand: medium skin tone 2067 | ✍🏾 writing hand: medium-dark skin tone 2068 | ✍🏿 writing hand: dark skin tone 2069 | 👏 clapping hands 2070 | 👏🏻 clapping hands: light skin tone 2071 | 👏🏼 clapping hands: medium-light skin tone 2072 | 👏🏽 clapping hands: medium skin tone 2073 | 👏🏾 clapping hands: medium-dark skin tone 2074 | 👏🏿 clapping hands: dark skin tone 2075 | 👐 open hands 2076 | 👐🏻 open hands: light skin tone 2077 | 👐🏼 open hands: medium-light skin tone 2078 | 👐🏽 open hands: medium skin tone 2079 | 👐🏾 open hands: medium-dark skin tone 2080 | 👐🏿 open hands: dark skin tone 2081 | 🙌 raising hands 2082 | 🙌🏻 raising hands: light skin tone 2083 | 🙌🏼 raising hands: medium-light skin tone 2084 | 🙌🏽 raising hands: medium skin tone 2085 | 🙌🏾 raising hands: medium-dark skin tone 2086 | 🙌🏿 raising hands: dark skin tone 2087 | 🤲 palms up together 2088 | 🤲🏻 palms up together: light skin tone 2089 | 🤲🏼 palms up together: medium-light skin tone 2090 | 🤲🏽 palms up together: medium skin tone 2091 | 🤲🏾 palms up together: medium-dark skin tone 2092 | 🤲🏿 palms up together: dark skin tone 2093 | 🙏 folded hands 2094 | 🙏🏻 folded hands: light skin tone 2095 | 🙏🏼 folded hands: medium-light skin tone 2096 | 🙏🏽 folded hands: medium skin tone 2097 | 🙏🏾 folded hands: medium-dark skin tone 2098 | 🙏🏿 folded hands: dark skin tone 2099 | 🤝 handshake 2100 | 💅 nail polish 2101 | 💅🏻 nail polish: light skin tone 2102 | 💅🏼 nail polish: medium-light skin tone 2103 | 💅🏽 nail polish: medium skin tone 2104 | 💅🏾 nail polish: medium-dark skin tone 2105 | 💅🏿 nail polish: dark skin tone 2106 | 👂 ear 2107 | 👂🏻 ear: light skin tone 2108 | 👂🏼 ear: medium-light skin tone 2109 | 👂🏽 ear: medium skin tone 2110 | 👂🏾 ear: medium-dark skin tone 2111 | 👂🏿 ear: dark skin tone 2112 | 👃 nose 2113 | 👃🏻 nose: light skin tone 2114 | 👃🏼 nose: medium-light skin tone 2115 | 👃🏽 nose: medium skin tone 2116 | 👃🏾 nose: medium-dark skin tone 2117 | 👃🏿 nose: dark skin tone 2118 | 🦰 red-haired 2119 | 🦱 curly-haired 2120 | 🦲 bald 2121 | 🦳 white-haired 2122 | 👣 footprints 2123 | 👀 eyes 2124 | 👁️ eye 2125 | 👁 eye 2126 | 👁️‍🗨️ eye in speech bubble 2127 | 👁‍🗨️ eye in speech bubble 2128 | 👁️‍🗨 eye in speech bubble 2129 | 👁‍🗨 eye in speech bubble 2130 | 🧠 brain 2131 | 🦴 bone 2132 | 🦷 tooth 2133 | 👅 tongue 2134 | 👄 mouth 2135 | 💋 kiss mark 2136 | 💘 heart with arrow 2137 | ❤️ red heart 2138 | ❤ red heart 2139 | 💓 beating heart 2140 | 💔 broken heart 2141 | 💕 two hearts 2142 | 💖 sparkling heart 2143 | 💗 growing heart 2144 | 💙 blue heart 2145 | 💚 green heart 2146 | 💛 yellow heart 2147 | 🧡 orange heart 2148 | 💜 purple heart 2149 | 🖤 black heart 2150 | 💝 heart with ribbon 2151 | 💞 revolving hearts 2152 | 💟 heart decoration 2153 | ❣️ heavy heart exclamation 2154 | ❣ heavy heart exclamation 2155 | 💌 love letter 2156 | 💤 zzz 2157 | 💢 anger symbol 2158 | 💣 bomb 2159 | 💥 collision 2160 | 💦 sweat droplets 2161 | 💨 dashing away 2162 | 💫 dizzy 2163 | 💬 speech balloon 2164 | 🗨️ left speech bubble 2165 | 🗨 left speech bubble 2166 | 🗯️ right anger bubble 2167 | 🗯 right anger bubble 2168 | 💭 thought balloon 2169 | 🕳️ hole 2170 | 🕳 hole 2171 | 👓 glasses 2172 | 🕶️ sunglasses 2173 | 🕶 sunglasses 2174 | 🥽 goggles 2175 | 🥼 lab coat 2176 | 👔 necktie 2177 | 👕 t-shirt 2178 | 👖 jeans 2179 | 🧣 scarf 2180 | 🧤 gloves 2181 | 🧥 coat 2182 | 🧦 socks 2183 | 👗 dress 2184 | 👘 kimono 2185 | 👙 bikini 2186 | 👚 woman’s clothes 2187 | 👛 purse 2188 | 👜 handbag 2189 | 👝 clutch bag 2190 | 🛍️ shopping bags 2191 | 🛍 shopping bags 2192 | 🎒 school backpack 2193 | 👞 man’s shoe 2194 | 👟 running shoe 2195 | 🥾 hiking boot 2196 | 🥿 woman’s flat shoe 2197 | 👠 high-heeled shoe 2198 | 👡 woman’s sandal 2199 | 👢 woman’s boot 2200 | 👑 crown 2201 | 👒 woman’s hat 2202 | 🎩 top hat 2203 | 🎓 graduation cap 2204 | 🧢 billed cap 2205 | ⛑️ rescue worker’s helmet 2206 | ⛑ rescue worker’s helmet 2207 | 📿 prayer beads 2208 | 💄 lipstick 2209 | 💍 ring 2210 | 💎 gem stone 2211 | 🐵 monkey face 2212 | 🐒 monkey 2213 | 🦍 gorilla 2214 | 🐶 dog face 2215 | 🐕 dog 2216 | 🐩 poodle 2217 | 🐺 wolf face 2218 | 🦊 fox face 2219 | 🦝 raccoon 2220 | 🐱 cat face 2221 | 🐈 cat 2222 | 🦁 lion face 2223 | 🐯 tiger face 2224 | 🐅 tiger 2225 | 🐆 leopard 2226 | 🐴 horse face 2227 | 🐎 horse 2228 | 🦄 unicorn face 2229 | 🦓 zebra 2230 | 🦌 deer 2231 | 🐮 cow face 2232 | 🐂 ox 2233 | 🐃 water buffalo 2234 | 🐄 cow 2235 | 🐷 pig face 2236 | 🐖 pig 2237 | 🐗 boar 2238 | 🐽 pig nose 2239 | 🐏 ram 2240 | 🐑 ewe 2241 | 🐐 goat 2242 | 🐪 camel 2243 | 🐫 two-hump camel 2244 | 🦙 llama 2245 | 🦒 giraffe 2246 | 🐘 elephant 2247 | 🦏 rhinoceros 2248 | 🦛 hippopotamus 2249 | 🐭 mouse face 2250 | 🐁 mouse 2251 | 🐀 rat 2252 | 🐹 hamster face 2253 | 🐰 rabbit face 2254 | 🐇 rabbit 2255 | 🐿️ chipmunk 2256 | 🐿 chipmunk 2257 | 🦔 hedgehog 2258 | 🦇 bat 2259 | 🐻 bear face 2260 | 🐨 koala 2261 | 🐼 panda face 2262 | 🦘 kangaroo 2263 | 🦡 badger 2264 | 🐾 paw prints 2265 | 🦃 turkey 2266 | 🐔 chicken 2267 | 🐓 rooster 2268 | 🐣 hatching chick 2269 | 🐤 baby chick 2270 | 🐥 front-facing baby chick 2271 | 🐦 bird 2272 | 🐧 penguin 2273 | 🕊️ dove 2274 | 🕊 dove 2275 | 🦅 eagle 2276 | 🦆 duck 2277 | 🦢 swan 2278 | 🦉 owl 2279 | 🦚 peacock 2280 | 🦜 parrot 2281 | 🐸 frog face 2282 | 🐊 crocodile 2283 | 🐢 turtle 2284 | 🦎 lizard 2285 | 🐍 snake 2286 | 🐲 dragon face 2287 | 🐉 dragon 2288 | 🦕 sauropod 2289 | 🦖 T-Rex 2290 | 🐳 spouting whale 2291 | 🐋 whale 2292 | 🐬 dolphin 2293 | 🐟 fish 2294 | 🐠 tropical fish 2295 | 🐡 blowfish 2296 | 🦈 shark 2297 | 🐙 octopus 2298 | 🐚 spiral shell 2299 | 🦀 crab 2300 | 🦞 lobster 2301 | 🦐 shrimp 2302 | 🦑 squid 2303 | 🐌 snail 2304 | 🦋 butterfly 2305 | 🐛 bug 2306 | 🐜 ant 2307 | 🐝 honeybee 2308 | 🐞 lady beetle 2309 | 🦗 cricket 2310 | 🕷️ spider 2311 | 🕷 spider 2312 | 🕸️ spider web 2313 | 🕸 spider web 2314 | 🦂 scorpion 2315 | 🦟 mosquito 2316 | 🦠 microbe 2317 | 💐 bouquet 2318 | 🌸 cherry blossom 2319 | 💮 white flower 2320 | 🏵️ rosette 2321 | 🏵 rosette 2322 | 🌹 rose 2323 | 🥀 wilted flower 2324 | 🌺 hibiscus 2325 | 🌻 sunflower 2326 | 🌼 blossom 2327 | 🌷 tulip 2328 | 🌱 seedling 2329 | 🌲 evergreen tree 2330 | 🌳 deciduous tree 2331 | 🌴 palm tree 2332 | 🌵 cactus 2333 | 🌾 sheaf of rice 2334 | 🌿 herb 2335 | ☘️ shamrock 2336 | ☘ shamrock 2337 | 🍀 four leaf clover 2338 | 🍁 maple leaf 2339 | 🍂 fallen leaf 2340 | 🍃 leaf fluttering in wind 2341 | 🍇 grapes 2342 | 🍈 melon 2343 | 🍉 watermelon 2344 | 🍊 tangerine 2345 | 🍋 lemon 2346 | 🍌 banana 2347 | 🍍 pineapple 2348 | 🥭 mango 2349 | 🍎 red apple 2350 | 🍏 green apple 2351 | 🍐 pear 2352 | 🍑 peach 2353 | 🍒 cherries 2354 | 🍓 strawberry 2355 | 🥝 kiwi fruit 2356 | 🍅 tomato 2357 | 🥥 coconut 2358 | 🥑 avocado 2359 | 🍆 eggplant 2360 | 🥔 potato 2361 | 🥕 carrot 2362 | 🌽 ear of corn 2363 | 🌶️ hot pepper 2364 | 🌶 hot pepper 2365 | 🥒 cucumber 2366 | 🥬 leafy green 2367 | 🥦 broccoli 2368 | 🍄 mushroom 2369 | 🥜 peanuts 2370 | 🌰 chestnut 2371 | 🍞 bread 2372 | 🥐 croissant 2373 | 🥖 baguette bread 2374 | 🥨 pretzel 2375 | 🥯 bagel 2376 | 🥞 pancakes 2377 | 🧀 cheese wedge 2378 | 🍖 meat on bone 2379 | 🍗 poultry leg 2380 | 🥩 cut of meat 2381 | 🥓 bacon 2382 | 🍔 hamburger 2383 | 🍟 french fries 2384 | 🍕 pizza 2385 | 🌭 hot dog 2386 | 🥪 sandwich 2387 | 🌮 taco 2388 | 🌯 burrito 2389 | 🥙 stuffed flatbread 2390 | 🥚 egg 2391 | 🍳 cooking 2392 | 🥘 shallow pan of food 2393 | 🍲 pot of food 2394 | 🥣 bowl with spoon 2395 | 🥗 green salad 2396 | 🍿 popcorn 2397 | 🧂 salt 2398 | 🥫 canned food 2399 | 🍱 bento box 2400 | 🍘 rice cracker 2401 | 🍙 rice ball 2402 | 🍚 cooked rice 2403 | 🍛 curry rice 2404 | 🍜 steaming bowl 2405 | 🍝 spaghetti 2406 | 🍠 roasted sweet potato 2407 | 🍢 oden 2408 | 🍣 sushi 2409 | 🍤 fried shrimp 2410 | 🍥 fish cake with swirl 2411 | 🥮 moon cake 2412 | 🍡 dango 2413 | 🥟 dumpling 2414 | 🥠 fortune cookie 2415 | 🥡 takeout box 2416 | 🍦 soft ice cream 2417 | 🍧 shaved ice 2418 | 🍨 ice cream 2419 | 🍩 doughnut 2420 | 🍪 cookie 2421 | 🎂 birthday cake 2422 | 🍰 shortcake 2423 | 🧁 cupcake 2424 | 🥧 pie 2425 | 🍫 chocolate bar 2426 | 🍬 candy 2427 | 🍭 lollipop 2428 | 🍮 custard 2429 | 🍯 honey pot 2430 | 🍼 baby bottle 2431 | 🥛 glass of milk 2432 | ☕ hot beverage 2433 | 🍵 teacup without handle 2434 | 🍶 sake 2435 | 🍾 bottle with popping cork 2436 | 🍷 wine glass 2437 | 🍸 cocktail glass 2438 | 🍹 tropical drink 2439 | 🍺 beer mug 2440 | 🍻 clinking beer mugs 2441 | 🥂 clinking glasses 2442 | 🥃 tumbler glass 2443 | 🥤 cup with straw 2444 | 🥢 chopsticks 2445 | 🍽️ fork and knife with plate 2446 | 🍽 fork and knife with plate 2447 | 🍴 fork and knife 2448 | 🥄 spoon 2449 | 🔪 kitchen knife 2450 | 🏺 amphora 2451 | 🌍 globe showing Europe-Africa 2452 | 🌎 globe showing Americas 2453 | 🌏 globe showing Asia-Australia 2454 | 🌐 globe with meridians 2455 | 🗺️ world map 2456 | 🗺 world map 2457 | 🗾 map of Japan 2458 | 🧭 compass 2459 | 🏔️ snow-capped mountain 2460 | 🏔 snow-capped mountain 2461 | ⛰️ mountain 2462 | ⛰ mountain 2463 | 🌋 volcano 2464 | 🗻 mount fuji 2465 | 🏕️ camping 2466 | 🏕 camping 2467 | 🏖️ beach with umbrella 2468 | 🏖 beach with umbrella 2469 | 🏜️ desert 2470 | 🏜 desert 2471 | 🏝️ desert island 2472 | 🏝 desert island 2473 | 🏞️ national park 2474 | 🏞 national park 2475 | 🏟️ stadium 2476 | 🏟 stadium 2477 | 🏛️ classical building 2478 | 🏛 classical building 2479 | 🏗️ building construction 2480 | 🏗 building construction 2481 | 🧱 bricks 2482 | 🏘️ houses 2483 | 🏘 houses 2484 | 🏚️ derelict house 2485 | 🏚 derelict house 2486 | 🏠 house 2487 | 🏡 house with garden 2488 | 🏢 office building 2489 | 🏣 Japanese post office 2490 | 🏤 post office 2491 | 🏥 hospital 2492 | 🏦 bank 2493 | 🏨 hotel 2494 | 🏩 love hotel 2495 | 🏪 convenience store 2496 | 🏫 school 2497 | 🏬 department store 2498 | 🏭 factory 2499 | 🏯 Japanese castle 2500 | 🏰 castle 2501 | 💒 wedding 2502 | 🗼 Tokyo tower 2503 | 🗽 Statue of Liberty 2504 | ⛪ church 2505 | 🕌 mosque 2506 | 🕍 synagogue 2507 | ⛩️ shinto shrine 2508 | ⛩ shinto shrine 2509 | 🕋 kaaba 2510 | ⛲ fountain 2511 | ⛺ tent 2512 | 🌁 foggy 2513 | 🌃 night with stars 2514 | 🏙️ cityscape 2515 | 🏙 cityscape 2516 | 🌄 sunrise over mountains 2517 | 🌅 sunrise 2518 | 🌆 cityscape at dusk 2519 | 🌇 sunset 2520 | 🌉 bridge at night 2521 | ♨️ hot springs 2522 | ♨ hot springs 2523 | 🌌 milky way 2524 | 🎠 carousel horse 2525 | 🎡 ferris wheel 2526 | 🎢 roller coaster 2527 | 💈 barber pole 2528 | 🎪 circus tent 2529 | 🚂 locomotive 2530 | 🚃 railway car 2531 | 🚄 high-speed train 2532 | 🚅 bullet train 2533 | 🚆 train 2534 | 🚇 metro 2535 | 🚈 light rail 2536 | 🚉 station 2537 | 🚊 tram 2538 | 🚝 monorail 2539 | 🚞 mountain railway 2540 | 🚋 tram car 2541 | 🚌 bus 2542 | 🚍 oncoming bus 2543 | 🚎 trolleybus 2544 | 🚐 minibus 2545 | 🚑 ambulance 2546 | 🚒 fire engine 2547 | 🚓 police car 2548 | 🚔 oncoming police car 2549 | 🚕 taxi 2550 | 🚖 oncoming taxi 2551 | 🚗 automobile 2552 | 🚘 oncoming automobile 2553 | 🚙 sport utility vehicle 2554 | 🚚 delivery truck 2555 | 🚛 articulated lorry 2556 | 🚜 tractor 2557 | 🚲 bicycle 2558 | 🛴 kick scooter 2559 | 🛹 skateboard 2560 | 🛵 motor scooter 2561 | 🚏 bus stop 2562 | 🛣️ motorway 2563 | 🛣 motorway 2564 | 🛤️ railway track 2565 | 🛤 railway track 2566 | 🛢️ oil drum 2567 | 🛢 oil drum 2568 | ⛽ fuel pump 2569 | 🚨 police car light 2570 | 🚥 horizontal traffic light 2571 | 🚦 vertical traffic light 2572 | 🛑 stop sign 2573 | 🚧 construction 2574 | ⚓ anchor 2575 | ⛵ sailboat 2576 | 🛶 canoe 2577 | 🚤 speedboat 2578 | 🛳️ passenger ship 2579 | 🛳 passenger ship 2580 | ⛴️ ferry 2581 | ⛴ ferry 2582 | 🛥️ motor boat 2583 | 🛥 motor boat 2584 | 🚢 ship 2585 | ✈️ airplane 2586 | ✈ airplane 2587 | 🛩️ small airplane 2588 | 🛩 small airplane 2589 | 🛫 airplane departure 2590 | 🛬 airplane arrival 2591 | 💺 seat 2592 | 🚁 helicopter 2593 | 🚟 suspension railway 2594 | 🚠 mountain cableway 2595 | 🚡 aerial tramway 2596 | 🛰️ satellite 2597 | 🛰 satellite 2598 | 🚀 rocket 2599 | 🛸 flying saucer 2600 | 🛎️ bellhop bell 2601 | 🛎 bellhop bell 2602 | 🧳 luggage 2603 | ⌛ hourglass done 2604 | ⏳ hourglass not done 2605 | ⌚ watch 2606 | ⏰ alarm clock 2607 | ⏱️ stopwatch 2608 | ⏱ stopwatch 2609 | ⏲️ timer clock 2610 | ⏲ timer clock 2611 | 🕰️ mantelpiece clock 2612 | 🕰 mantelpiece clock 2613 | 🕛 twelve o’clock 2614 | 🕧 twelve-thirty 2615 | 🕐 one o’clock 2616 | 🕜 one-thirty 2617 | 🕑 two o’clock 2618 | 🕝 two-thirty 2619 | 🕒 three o’clock 2620 | 🕞 three-thirty 2621 | 🕓 four o’clock 2622 | 🕟 four-thirty 2623 | 🕔 five o’clock 2624 | 🕠 five-thirty 2625 | 🕕 six o’clock 2626 | 🕡 six-thirty 2627 | 🕖 seven o’clock 2628 | 🕢 seven-thirty 2629 | 🕗 eight o’clock 2630 | 🕣 eight-thirty 2631 | 🕘 nine o’clock 2632 | 🕤 nine-thirty 2633 | 🕙 ten o’clock 2634 | 🕥 ten-thirty 2635 | 🕚 eleven o’clock 2636 | 🕦 eleven-thirty 2637 | 🌑 new moon 2638 | 🌒 waxing crescent moon 2639 | 🌓 first quarter moon 2640 | 🌔 waxing gibbous moon 2641 | 🌕 full moon 2642 | 🌖 waning gibbous moon 2643 | 🌗 last quarter moon 2644 | 🌘 waning crescent moon 2645 | 🌙 crescent moon 2646 | 🌚 new moon face 2647 | 🌛 first quarter moon face 2648 | 🌜 last quarter moon face 2649 | 🌡️ thermometer 2650 | 🌡 thermometer 2651 | ☀️ sun 2652 | ☀ sun 2653 | 🌝 full moon face 2654 | 🌞 sun with face 2655 | ⭐ star 2656 | 🌟 glowing star 2657 | 🌠 shooting star 2658 | ☁️ cloud 2659 | ☁ cloud 2660 | ⛅ sun behind cloud 2661 | ⛈️ cloud with lightning and rain 2662 | ⛈ cloud with lightning and rain 2663 | 🌤️ sun behind small cloud 2664 | 🌤 sun behind small cloud 2665 | 🌥️ sun behind large cloud 2666 | 🌥 sun behind large cloud 2667 | 🌦️ sun behind rain cloud 2668 | 🌦 sun behind rain cloud 2669 | 🌧️ cloud with rain 2670 | 🌧 cloud with rain 2671 | 🌨️ cloud with snow 2672 | 🌨 cloud with snow 2673 | 🌩️ cloud with lightning 2674 | 🌩 cloud with lightning 2675 | 🌪️ tornado 2676 | 🌪 tornado 2677 | 🌫️ fog 2678 | 🌫 fog 2679 | 🌬️ wind face 2680 | 🌬 wind face 2681 | 🌀 cyclone 2682 | 🌈 rainbow 2683 | 🌂 closed umbrella 2684 | ☂️ umbrella 2685 | ☂ umbrella 2686 | ☔ umbrella with rain drops 2687 | ⛱️ umbrella on ground 2688 | ⛱ umbrella on ground 2689 | ⚡ high voltage 2690 | ❄️ snowflake 2691 | ❄ snowflake 2692 | ☃️ snowman 2693 | ☃ snowman 2694 | ⛄ snowman without snow 2695 | ☄️ comet 2696 | ☄ comet 2697 | 🔥 fire 2698 | 💧 droplet 2699 | 🌊 water wave 2700 | 🎃 jack-o-lantern 2701 | 🎄 Christmas tree 2702 | 🎆 fireworks 2703 | 🎇 sparkler 2704 | 🧨 firecracker 2705 | ✨ sparkles 2706 | 🎈 balloon 2707 | 🎉 party popper 2708 | 🎊 confetti ball 2709 | 🎋 tanabata tree 2710 | 🎍 pine decoration 2711 | 🎎 Japanese dolls 2712 | 🎏 carp streamer 2713 | 🎐 wind chime 2714 | 🎑 moon viewing ceremony 2715 | 🧧 red envelope 2716 | 🎀 ribbon 2717 | 🎁 wrapped gift 2718 | 🎗️ reminder ribbon 2719 | 🎗 reminder ribbon 2720 | 🎟️ admission tickets 2721 | 🎟 admission tickets 2722 | 🎫 ticket 2723 | 🎖️ military medal 2724 | 🎖 military medal 2725 | 🏆 trophy 2726 | 🏅 sports medal 2727 | 🥇 1st place medal 2728 | 🥈 2nd place medal 2729 | 🥉 3rd place medal 2730 | ⚽ soccer ball 2731 | ⚾ baseball 2732 | 🥎 softball 2733 | 🏀 basketball 2734 | 🏐 volleyball 2735 | 🏈 american football 2736 | 🏉 rugby football 2737 | 🎾 tennis 2738 | 🥏 flying disc 2739 | 🎳 bowling 2740 | 🏏 cricket game 2741 | 🏑 field hockey 2742 | 🏒 ice hockey 2743 | 🥍 lacrosse 2744 | 🏓 ping pong 2745 | 🏸 badminton 2746 | 🥊 boxing glove 2747 | 🥋 martial arts uniform 2748 | 🥅 goal net 2749 | ⛳ flag in hole 2750 | ⛸️ ice skate 2751 | ⛸ ice skate 2752 | 🎣 fishing pole 2753 | 🎽 running shirt 2754 | 🎿 skis 2755 | 🛷 sled 2756 | 🥌 curling stone 2757 | 🎯 direct hit 2758 | 🎱 pool 8 ball 2759 | 🔮 crystal ball 2760 | 🧿 nazar amulet 2761 | 🎮 video game 2762 | 🕹️ joystick 2763 | 🕹 joystick 2764 | 🎰 slot machine 2765 | 🎲 game die 2766 | 🧩 jigsaw 2767 | 🧸 teddy bear 2768 | ♠️ spade suit 2769 | ♠ spade suit 2770 | ♥️ heart suit 2771 | ♥ heart suit 2772 | ♦️ diamond suit 2773 | ♦ diamond suit 2774 | ♣️ club suit 2775 | ♣ club suit 2776 | ♟️ chess pawn 2777 | ♟ chess pawn 2778 | 🃏 joker 2779 | 🀄 mahjong red dragon 2780 | 🎴 flower playing cards 2781 | 🎭 performing arts 2782 | 🖼️ framed picture 2783 | 🖼 framed picture 2784 | 🎨 artist palette 2785 | 🧵 thread 2786 | 🧶 yarn 2787 | 🔇 muted speaker 2788 | 🔈 speaker low volume 2789 | 🔉 speaker medium volume 2790 | 🔊 speaker high volume 2791 | 📢 loudspeaker 2792 | 📣 megaphone 2793 | 📯 postal horn 2794 | 🔔 bell 2795 | 🔕 bell with slash 2796 | 🎼 musical score 2797 | 🎵 musical note 2798 | 🎶 musical notes 2799 | 🎙️ studio microphone 2800 | 🎙 studio microphone 2801 | 🎚️ level slider 2802 | 🎚 level slider 2803 | 🎛️ control knobs 2804 | 🎛 control knobs 2805 | 🎤 microphone 2806 | 🎧 headphone 2807 | 📻 radio 2808 | 🎷 saxophone 2809 | 🎸 guitar 2810 | 🎹 musical keyboard 2811 | 🎺 trumpet 2812 | 🎻 violin 2813 | 🥁 drum 2814 | 📱 mobile phone 2815 | 📲 mobile phone with arrow 2816 | ☎️ telephone 2817 | ☎ telephone 2818 | 📞 telephone receiver 2819 | 📟 pager 2820 | 📠 fax machine 2821 | 🔋 battery 2822 | 🔌 electric plug 2823 | 💻 laptop computer 2824 | 🖥️ desktop computer 2825 | 🖥 desktop computer 2826 | 🖨️ printer 2827 | 🖨 printer 2828 | ⌨️ keyboard 2829 | ⌨ keyboard 2830 | 🖱️ computer mouse 2831 | 🖱 computer mouse 2832 | 🖲️ trackball 2833 | 🖲 trackball 2834 | 💽 computer disk 2835 | 💾 floppy disk 2836 | 💿 optical disk 2837 | 📀 dvd 2838 | 🧮 abacus 2839 | 🎥 movie camera 2840 | 🎞️ film frames 2841 | 🎞 film frames 2842 | 📽️ film projector 2843 | 📽 film projector 2844 | 🎬 clapper board 2845 | 📺 television 2846 | 📷 camera 2847 | 📸 camera with flash 2848 | 📹 video camera 2849 | 📼 videocassette 2850 | 🔍 magnifying glass tilted left 2851 | 🔎 magnifying glass tilted right 2852 | 🕯️ candle 2853 | 🕯 candle 2854 | 💡 light bulb 2855 | 🔦 flashlight 2856 | 🏮 red paper lantern 2857 | 📔 notebook with decorative cover 2858 | 📕 closed book 2859 | 📖 open book 2860 | 📗 green book 2861 | 📘 blue book 2862 | 📙 orange book 2863 | 📚 books 2864 | 📓 notebook 2865 | 📒 ledger 2866 | 📃 page with curl 2867 | 📜 scroll 2868 | 📄 page facing up 2869 | 📰 newspaper 2870 | 🗞️ rolled-up newspaper 2871 | 🗞 rolled-up newspaper 2872 | 📑 bookmark tabs 2873 | 🔖 bookmark 2874 | 🏷️ label 2875 | 🏷 label 2876 | 💰 money bag 2877 | 💴 yen banknote 2878 | 💵 dollar banknote 2879 | 💶 euro banknote 2880 | 💷 pound banknote 2881 | 💸 money with wings 2882 | 💳 credit card 2883 | 🧾 receipt 2884 | 💹 chart increasing with yen 2885 | 💱 currency exchange 2886 | 💲 heavy dollar sign 2887 | ✉️ envelope 2888 | ✉ envelope 2889 | 📧 e-mail 2890 | 📨 incoming envelope 2891 | 📩 envelope with arrow 2892 | 📤 outbox tray 2893 | 📥 inbox tray 2894 | 📦 package 2895 | 📫 closed mailbox with raised flag 2896 | 📪 closed mailbox with lowered flag 2897 | 📬 open mailbox with raised flag 2898 | 📭 open mailbox with lowered flag 2899 | 📮 postbox 2900 | 🗳️ ballot box with ballot 2901 | 🗳 ballot box with ballot 2902 | ✏️ pencil 2903 | ✏ pencil 2904 | ✒️ black nib 2905 | ✒ black nib 2906 | 🖋️ fountain pen 2907 | 🖋 fountain pen 2908 | 🖊️ pen 2909 | 🖊 pen 2910 | 🖌️ paintbrush 2911 | 🖌 paintbrush 2912 | 🖍️ crayon 2913 | 🖍 crayon 2914 | 📝 memo 2915 | 💼 briefcase 2916 | 📁 file folder 2917 | 📂 open file folder 2918 | 🗂️ card index dividers 2919 | 🗂 card index dividers 2920 | 📅 calendar 2921 | 📆 tear-off calendar 2922 | 🗒️ spiral notepad 2923 | 🗒 spiral notepad 2924 | 🗓️ spiral calendar 2925 | 🗓 spiral calendar 2926 | 📇 card index 2927 | 📈 chart increasing 2928 | 📉 chart decreasing 2929 | 📊 bar chart 2930 | 📋 clipboard 2931 | 📌 pushpin 2932 | 📍 round pushpin 2933 | 📎 paperclip 2934 | 🖇️ linked paperclips 2935 | 🖇 linked paperclips 2936 | 📏 straight ruler 2937 | 📐 triangular ruler 2938 | ✂️ scissors 2939 | ✂ scissors 2940 | 🗃️ card file box 2941 | 🗃 card file box 2942 | 🗄️ file cabinet 2943 | 🗄 file cabinet 2944 | 🗑️ wastebasket 2945 | 🗑 wastebasket 2946 | 🔒 locked 2947 | 🔓 unlocked 2948 | 🔏 locked with pen 2949 | 🔐 locked with key 2950 | 🔑 key 2951 | 🗝️ old key 2952 | 🗝 old key 2953 | 🔨 hammer 2954 | ⛏️ pick 2955 | ⛏ pick 2956 | ⚒️ hammer and pick 2957 | ⚒ hammer and pick 2958 | 🛠️ hammer and wrench 2959 | 🛠 hammer and wrench 2960 | 🗡️ dagger 2961 | 🗡 dagger 2962 | ⚔️ crossed swords 2963 | ⚔ crossed swords 2964 | 🔫 pistol 2965 | 🏹 bow and arrow 2966 | 🛡️ shield 2967 | 🛡 shield 2968 | 🔧 wrench 2969 | 🔩 nut and bolt 2970 | ⚙️ gear 2971 | ⚙ gear 2972 | 🗜️ clamp 2973 | 🗜 clamp 2974 | ⚖️ balance scale 2975 | ⚖ balance scale 2976 | 🔗 link 2977 | ⛓️ chains 2978 | ⛓ chains 2979 | 🧰 toolbox 2980 | 🧲 magnet 2981 | ⚗️ alembic 2982 | ⚗ alembic 2983 | 🧪 test tube 2984 | 🧫 petri dish 2985 | 🧬 dna 2986 | 🔬 microscope 2987 | 🔭 telescope 2988 | 📡 satellite antenna 2989 | 💉 syringe 2990 | 💊 pill 2991 | 🚪 door 2992 | 🛏️ bed 2993 | 🛏 bed 2994 | 🛋️ couch and lamp 2995 | 🛋 couch and lamp 2996 | 🚽 toilet 2997 | 🚿 shower 2998 | 🛁 bathtub 2999 | 🧴 lotion bottle 3000 | 🧷 safety pin 3001 | 🧹 broom 3002 | 🧺 basket 3003 | 🧻 roll of paper 3004 | 🧼 soap 3005 | 🧽 sponge 3006 | 🧯 fire extinguisher 3007 | 🛒 shopping cart 3008 | 🚬 cigarette 3009 | ⚰️ coffin 3010 | ⚰ coffin 3011 | ⚱️ funeral urn 3012 | ⚱ funeral urn 3013 | 🗿 moai 3014 | 🏧 ATM sign 3015 | 🚮 litter in bin sign 3016 | 🚰 potable water 3017 | ♿ wheelchair symbol 3018 | 🚹 men’s room 3019 | 🚺 women’s room 3020 | 🚻 restroom 3021 | 🚼 baby symbol 3022 | 🚾 water closet 3023 | 🛂 passport control 3024 | 🛃 customs 3025 | 🛄 baggage claim 3026 | 🛅 left luggage 3027 | ⚠️ warning 3028 | ⚠ warning 3029 | 🚸 children crossing 3030 | ⛔ no entry 3031 | 🚫 prohibited 3032 | 🚳 no bicycles 3033 | 🚭 no smoking 3034 | 🚯 no littering 3035 | 🚱 non-potable water 3036 | 🚷 no pedestrians 3037 | 📵 no mobile phones 3038 | 🔞 no one under eighteen 3039 | ☢️ radioactive 3040 | ☢ radioactive 3041 | ☣️ biohazard 3042 | ☣ biohazard 3043 | ⬆️ up arrow 3044 | ⬆ up arrow 3045 | ↗️ up-right arrow 3046 | ↗ up-right arrow 3047 | ➡️ right arrow 3048 | ➡ right arrow 3049 | ↘️ down-right arrow 3050 | ↘ down-right arrow 3051 | ⬇️ down arrow 3052 | ⬇ down arrow 3053 | ↙️ down-left arrow 3054 | ↙ down-left arrow 3055 | ⬅️ left arrow 3056 | ⬅ left arrow 3057 | ↖️ up-left arrow 3058 | ↖ up-left arrow 3059 | ↕️ up-down arrow 3060 | ↕ up-down arrow 3061 | ↔️ left-right arrow 3062 | ↔ left-right arrow 3063 | ↩️ right arrow curving left 3064 | ↩ right arrow curving left 3065 | ↪️ left arrow curving right 3066 | ↪ left arrow curving right 3067 | ⤴️ right arrow curving up 3068 | ⤴ right arrow curving up 3069 | ⤵️ right arrow curving down 3070 | ⤵ right arrow curving down 3071 | 🔃 clockwise vertical arrows 3072 | 🔄 counterclockwise arrows button 3073 | 🔙 BACK arrow 3074 | 🔚 END arrow 3075 | 🔛 ON! arrow 3076 | 🔜 SOON arrow 3077 | 🔝 TOP arrow 3078 | 🛐 place of worship 3079 | ⚛️ atom symbol 3080 | ⚛ atom symbol 3081 | 🕉️ om 3082 | 🕉 om 3083 | ✡️ star of David 3084 | ✡ star of David 3085 | ☸️ wheel of dharma 3086 | ☸ wheel of dharma 3087 | ☯️ yin yang 3088 | ☯ yin yang 3089 | ✝️ latin cross 3090 | ✝ latin cross 3091 | ☦️ orthodox cross 3092 | ☦ orthodox cross 3093 | ☪️ star and crescent 3094 | ☪ star and crescent 3095 | ☮️ peace symbol 3096 | ☮ peace symbol 3097 | 🕎 menorah 3098 | 🔯 dotted six-pointed star 3099 | ♈ Aries 3100 | ♉ Taurus 3101 | ♊ Gemini 3102 | ♋ Cancer 3103 | ♌ Leo 3104 | ♍ Virgo 3105 | ♎ Libra 3106 | ♏ Scorpio 3107 | ♐ Sagittarius 3108 | ♑ Capricorn 3109 | ♒ Aquarius 3110 | ♓ Pisces 3111 | ⛎ Ophiuchus 3112 | 🔀 shuffle tracks button 3113 | 🔁 repeat button 3114 | 🔂 repeat single button 3115 | ▶️ play button 3116 | ▶ play button 3117 | ⏩ fast-forward button 3118 | ⏭️ next track button 3119 | ⏭ next track button 3120 | ⏯️ play or pause button 3121 | ⏯ play or pause button 3122 | ◀️ reverse button 3123 | ◀ reverse button 3124 | ⏪ fast reverse button 3125 | ⏮️ last track button 3126 | ⏮ last track button 3127 | 🔼 upwards button 3128 | ⏫ fast up button 3129 | 🔽 downwards button 3130 | ⏬ fast down button 3131 | ⏸️ pause button 3132 | ⏸ pause button 3133 | ⏹️ stop button 3134 | ⏹ stop button 3135 | ⏺️ record button 3136 | ⏺ record button 3137 | ⏏️ eject button 3138 | ⏏ eject button 3139 | 🎦 cinema 3140 | 🔅 dim button 3141 | 🔆 bright button 3142 | 📶 antenna bars 3143 | 📳 vibration mode 3144 | 📴 mobile phone off 3145 | ♀️ female sign 3146 | ♀ female sign 3147 | ♂️ male sign 3148 | ♂ male sign 3149 | ⚕️ medical symbol 3150 | ⚕ medical symbol 3151 | ♾️ infinity 3152 | ♾ infinity 3153 | ♻️ recycling symbol 3154 | ♻ recycling symbol 3155 | ⚜️ fleur-de-lis 3156 | ⚜ fleur-de-lis 3157 | 🔱 trident emblem 3158 | 📛 name badge 3159 | 🔰 Japanese symbol for beginner 3160 | ⭕ heavy large circle 3161 | ✅ white heavy check mark 3162 | ☑️ ballot box with check 3163 | ☑ ballot box with check 3164 | ✔️ heavy check mark 3165 | ✔ heavy check mark 3166 | ✖️ heavy multiplication x 3167 | ✖ heavy multiplication x 3168 | ❌ cross mark 3169 | ❎ cross mark button 3170 | ➕ heavy plus sign 3171 | ➖ heavy minus sign 3172 | ➗ heavy division sign 3173 | ➰ curly loop 3174 | ➿ double curly loop 3175 | 〽️ part alternation mark 3176 | 〽 part alternation mark 3177 | ✳️ eight-spoked asterisk 3178 | ✳ eight-spoked asterisk 3179 | ✴️ eight-pointed star 3180 | ✴ eight-pointed star 3181 | ❇️ sparkle 3182 | ❇ sparkle 3183 | ‼️ double exclamation mark 3184 | ‼ double exclamation mark 3185 | ⁉️ exclamation question mark 3186 | ⁉ exclamation question mark 3187 | ❓ question mark 3188 | ❔ white question mark 3189 | ❕ white exclamation mark 3190 | ❗ exclamation mark 3191 | 〰️ wavy dash 3192 | 〰 wavy dash 3193 | ©️ copyright 3194 | © copyright 3195 | ®️ registered 3196 | ® registered 3197 | ™️ trade mark 3198 | ™ trade mark 3199 | #️⃣ keycap: # 3200 | #⃣ keycap: # 3201 | *️⃣ keycap: * 3202 | *⃣ keycap: * 3203 | 0️⃣ keycap: 0 3204 | 0⃣ keycap: 0 3205 | 1️⃣ keycap: 1 3206 | 1⃣ keycap: 1 3207 | 2️⃣ keycap: 2 3208 | 2⃣ keycap: 2 3209 | 3️⃣ keycap: 3 3210 | 3⃣ keycap: 3 3211 | 4️⃣ keycap: 4 3212 | 4⃣ keycap: 4 3213 | 5️⃣ keycap: 5 3214 | 5⃣ keycap: 5 3215 | 6️⃣ keycap: 6 3216 | 6⃣ keycap: 6 3217 | 7️⃣ keycap: 7 3218 | 7⃣ keycap: 7 3219 | 8️⃣ keycap: 8 3220 | 8⃣ keycap: 8 3221 | 9️⃣ keycap: 9 3222 | 9⃣ keycap: 9 3223 | 🔟 keycap: 10 3224 | 💯 hundred points 3225 | 🔠 input latin uppercase 3226 | 🔡 input latin lowercase 3227 | 🔢 input numbers 3228 | 🔣 input symbols 3229 | 🔤 input latin letters 3230 | 🅰️ A button (blood type) 3231 | 🅰 A button (blood type) 3232 | 🆎 AB button (blood type) 3233 | 🅱️ B button (blood type) 3234 | 🅱 B button (blood type) 3235 | 🆑 CL button 3236 | 🆒 COOL button 3237 | 🆓 FREE button 3238 | ℹ️ information 3239 | ℹ information 3240 | 🆔 ID button 3241 | Ⓜ️ circled M 3242 | Ⓜ circled M 3243 | 🆕 NEW button 3244 | 🆖 NG button 3245 | 🅾️ O button (blood type) 3246 | 🅾 O button (blood type) 3247 | 🆗 OK button 3248 | 🅿️ P button 3249 | 🅿 P button 3250 | 🆘 SOS button 3251 | 🆙 UP! button 3252 | 🆚 VS button 3253 | 🈁 Japanese “here” button 3254 | 🈂️ Japanese “service charge” button 3255 | 🈂 Japanese “service charge” button 3256 | 🈷️ Japanese “monthly amount” button 3257 | 🈷 Japanese “monthly amount” button 3258 | 🈶 Japanese “not free of charge” button 3259 | 🈯 Japanese “reserved” button 3260 | 🉐 Japanese “bargain” button 3261 | 🈹 Japanese “discount” button 3262 | 🈚 Japanese “free of charge” button 3263 | 🈲 Japanese “prohibited” button 3264 | 🉑 Japanese “acceptable” button 3265 | 🈸 Japanese “application” button 3266 | 🈴 Japanese “passing grade” button 3267 | 🈳 Japanese “vacancy” button 3268 | ㊗️ Japanese “congratulations” button 3269 | ㊗ Japanese “congratulations” button 3270 | ㊙️ Japanese “secret” button 3271 | ㊙ Japanese “secret” button 3272 | 🈺 Japanese “open for business” button 3273 | 🈵 Japanese “no vacancy” button 3274 | ▪️ black small square 3275 | ▪ black small square 3276 | ▫️ white small square 3277 | ▫ white small square 3278 | ◻️ white medium square 3279 | ◻ white medium square 3280 | ◼️ black medium square 3281 | ◼ black medium square 3282 | ◽ white medium-small square 3283 | ◾ black medium-small square 3284 | ⬛ black large square 3285 | ⬜ white large square 3286 | 🔶 large orange diamond 3287 | 🔷 large blue diamond 3288 | 🔸 small orange diamond 3289 | 🔹 small blue diamond 3290 | 🔺 red triangle pointed up 3291 | 🔻 red triangle pointed down 3292 | 💠 diamond with a dot 3293 | 🔘 radio button 3294 | 🔲 black square button 3295 | 🔳 white square button 3296 | ⚪ white circle 3297 | ⚫ black circle 3298 | 🔴 red circle 3299 | 🔵 blue circle 3300 | 🏁 chequered flag 3301 | 🚩 triangular flag 3302 | 🎌 crossed flags 3303 | 🏴 black flag 3304 | 🏳️ white flag 3305 | 🏳 white flag 3306 | 🏳️‍🌈 rainbow flag 3307 | 🏳‍🌈 rainbow flag 3308 | 🏴‍☠️ pirate flag 3309 | 🏴‍☠ pirate flag 3310 | 🇦🇨 Ascension Island 3311 | 🇦🇩 Andorra 3312 | 🇦🇪 United Arab Emirates 3313 | 🇦🇫 Afghanistan 3314 | 🇦🇬 Antigua & Barbuda 3315 | 🇦🇮 Anguilla 3316 | 🇦🇱 Albania 3317 | 🇦🇲 Armenia 3318 | 🇦🇴 Angola 3319 | 🇦🇶 Antarctica 3320 | 🇦🇷 Argentina 3321 | 🇦🇸 American Samoa 3322 | 🇦🇹 Austria 3323 | 🇦🇺 Australia 3324 | 🇦🇼 Aruba 3325 | 🇦🇽 Åland Islands 3326 | 🇦🇿 Azerbaijan 3327 | 🇧🇦 Bosnia & Herzegovina 3328 | 🇧🇧 Barbados 3329 | 🇧🇩 Bangladesh 3330 | 🇧🇪 Belgium 3331 | 🇧🇫 Burkina Faso 3332 | 🇧🇬 Bulgaria 3333 | 🇧🇭 Bahrain 3334 | 🇧🇮 Burundi 3335 | 🇧🇯 Benin 3336 | 🇧🇱 St. Barthélemy 3337 | 🇧🇲 Bermuda 3338 | 🇧🇳 Brunei 3339 | 🇧🇴 Bolivia 3340 | 🇧🇶 Caribbean Netherlands 3341 | 🇧🇷 Brazil 3342 | 🇧🇸 Bahamas 3343 | 🇧🇹 Bhutan 3344 | 🇧🇻 Bouvet Island 3345 | 🇧🇼 Botswana 3346 | 🇧🇾 Belarus 3347 | 🇧🇿 Belize 3348 | 🇨🇦 Canada 3349 | 🇨🇨 Cocos (Keeling) Islands 3350 | 🇨🇩 Congo - Kinshasa 3351 | 🇨🇫 Central African Republic 3352 | 🇨🇬 Congo - Brazzaville 3353 | 🇨🇭 Switzerland 3354 | 🇨🇮 Côte d’Ivoire 3355 | 🇨🇰 Cook Islands 3356 | 🇨🇱 Chile 3357 | 🇨🇲 Cameroon 3358 | 🇨🇳 China 3359 | 🇨🇴 Colombia 3360 | 🇨🇵 Clipperton Island 3361 | 🇨🇷 Costa Rica 3362 | 🇨🇺 Cuba 3363 | 🇨🇻 Cape Verde 3364 | 🇨🇼 Curaçao 3365 | 🇨🇽 Christmas Island 3366 | 🇨🇾 Cyprus 3367 | 🇨🇿 Czechia 3368 | 🇩🇪 Germany 3369 | 🇩🇬 Diego Garcia 3370 | 🇩🇯 Djibouti 3371 | 🇩🇰 Denmark 3372 | 🇩🇲 Dominica 3373 | 🇩🇴 Dominican Republic 3374 | 🇩🇿 Algeria 3375 | 🇪🇦 Ceuta & Melilla 3376 | 🇪🇨 Ecuador 3377 | 🇪🇪 Estonia 3378 | 🇪🇬 Egypt 3379 | 🇪🇭 Western Sahara 3380 | 🇪🇷 Eritrea 3381 | 🇪🇸 Spain 3382 | 🇪🇹 Ethiopia 3383 | 🇪🇺 European Union 3384 | 🇫🇮 Finland 3385 | 🇫🇯 Fiji 3386 | 🇫🇰 Falkland Islands 3387 | 🇫🇲 Micronesia 3388 | 🇫🇴 Faroe Islands 3389 | 🇫🇷 France 3390 | 🇬🇦 Gabon 3391 | 🇬🇧 United Kingdom 3392 | 🇬🇩 Grenada 3393 | 🇬🇪 Georgia 3394 | 🇬🇫 French Guiana 3395 | 🇬🇬 Guernsey 3396 | 🇬🇭 Ghana 3397 | 🇬🇮 Gibraltar 3398 | 🇬🇱 Greenland 3399 | 🇬🇲 Gambia 3400 | 🇬🇳 Guinea 3401 | 🇬🇵 Guadeloupe 3402 | 🇬🇶 Equatorial Guinea 3403 | 🇬🇷 Greece 3404 | 🇬🇸 South Georgia & South Sandwich Islands 3405 | 🇬🇹 Guatemala 3406 | 🇬🇺 Guam 3407 | 🇬🇼 Guinea-Bissau 3408 | 🇬🇾 Guyana 3409 | 🇭🇰 Hong Kong SAR China 3410 | 🇭🇲 Heard & McDonald Islands 3411 | 🇭🇳 Honduras 3412 | 🇭🇷 Croatia 3413 | 🇭🇹 Haiti 3414 | 🇭🇺 Hungary 3415 | 🇮🇨 Canary Islands 3416 | 🇮🇩 Indonesia 3417 | 🇮🇪 Ireland 3418 | 🇮🇱 Israel 3419 | 🇮🇲 Isle of Man 3420 | 🇮🇳 India 3421 | 🇮🇴 British Indian Ocean Territory 3422 | 🇮🇶 Iraq 3423 | 🇮🇷 Iran 3424 | 🇮🇸 Iceland 3425 | 🇮🇹 Italy 3426 | 🇯🇪 Jersey 3427 | 🇯🇲 Jamaica 3428 | 🇯🇴 Jordan 3429 | 🇯🇵 Japan 3430 | 🇰🇪 Kenya 3431 | 🇰🇬 Kyrgyzstan 3432 | 🇰🇭 Cambodia 3433 | 🇰🇮 Kiribati 3434 | 🇰🇲 Comoros 3435 | 🇰🇳 St. Kitts & Nevis 3436 | 🇰🇵 North Korea 3437 | 🇰🇷 South Korea 3438 | 🇰🇼 Kuwait 3439 | 🇰🇾 Cayman Islands 3440 | 🇰🇿 Kazakhstan 3441 | 🇱🇦 Laos 3442 | 🇱🇧 Lebanon 3443 | 🇱🇨 St. Lucia 3444 | 🇱🇮 Liechtenstein 3445 | 🇱🇰 Sri Lanka 3446 | 🇱🇷 Liberia 3447 | 🇱🇸 Lesotho 3448 | 🇱🇹 Lithuania 3449 | 🇱🇺 Luxembourg 3450 | 🇱🇻 Latvia 3451 | 🇱🇾 Libya 3452 | 🇲🇦 Morocco 3453 | 🇲🇨 Monaco 3454 | 🇲🇩 Moldova 3455 | 🇲🇪 Montenegro 3456 | 🇲🇫 St. Martin 3457 | 🇲🇬 Madagascar 3458 | 🇲🇭 Marshall Islands 3459 | 🇲🇰 Macedonia 3460 | 🇲🇱 Mali 3461 | 🇲🇲 Myanmar (Burma) 3462 | 🇲🇳 Mongolia 3463 | 🇲🇴 Macau SAR China 3464 | 🇲🇵 Northern Mariana Islands 3465 | 🇲🇶 Martinique 3466 | 🇲🇷 Mauritania 3467 | 🇲🇸 Montserrat 3468 | 🇲🇹 Malta 3469 | 🇲🇺 Mauritius 3470 | 🇲🇻 Maldives 3471 | 🇲🇼 Malawi 3472 | 🇲🇽 Mexico 3473 | 🇲🇾 Malaysia 3474 | 🇲🇿 Mozambique 3475 | 🇳🇦 Namibia 3476 | 🇳🇨 New Caledonia 3477 | 🇳🇪 Niger 3478 | 🇳🇫 Norfolk Island 3479 | 🇳🇬 Nigeria 3480 | 🇳🇮 Nicaragua 3481 | 🇳🇱 Netherlands 3482 | 🇳🇴 Norway 3483 | 🇳🇵 Nepal 3484 | 🇳🇷 Nauru 3485 | 🇳🇺 Niue 3486 | 🇳🇿 New Zealand 3487 | 🇴🇲 Oman 3488 | 🇵🇦 Panama 3489 | 🇵🇪 Peru 3490 | 🇵🇫 French Polynesia 3491 | 🇵🇬 Papua New Guinea 3492 | 🇵🇭 Philippines 3493 | 🇵🇰 Pakistan 3494 | 🇵🇱 Poland 3495 | 🇵🇲 St. Pierre & Miquelon 3496 | 🇵🇳 Pitcairn Islands 3497 | 🇵🇷 Puerto Rico 3498 | 🇵🇸 Palestinian Territories 3499 | 🇵🇹 Portugal 3500 | 🇵🇼 Palau 3501 | 🇵🇾 Paraguay 3502 | 🇶🇦 Qatar 3503 | 🇷🇪 Réunion 3504 | 🇷🇴 Romania 3505 | 🇷🇸 Serbia 3506 | 🇷🇺 Russia 3507 | 🇷🇼 Rwanda 3508 | 🇸🇦 Saudi Arabia 3509 | 🇸🇧 Solomon Islands 3510 | 🇸🇨 Seychelles 3511 | 🇸🇩 Sudan 3512 | 🇸🇪 Sweden 3513 | 🇸🇬 Singapore 3514 | 🇸🇭 St. Helena 3515 | 🇸🇮 Slovenia 3516 | 🇸🇯 Svalbard & Jan Mayen 3517 | 🇸🇰 Slovakia 3518 | 🇸🇱 Sierra Leone 3519 | 🇸🇲 San Marino 3520 | 🇸🇳 Senegal 3521 | 🇸🇴 Somalia 3522 | 🇸🇷 Suriname 3523 | 🇸🇸 South Sudan 3524 | 🇸🇹 São Tomé & Príncipe 3525 | 🇸🇻 El Salvador 3526 | 🇸🇽 Sint Maarten 3527 | 🇸🇾 Syria 3528 | 🇸🇿 Swaziland 3529 | 🇹🇦 Tristan da Cunha 3530 | 🇹🇨 Turks & Caicos Islands 3531 | 🇹🇩 Chad 3532 | 🇹🇫 French Southern Territories 3533 | 🇹🇬 Togo 3534 | 🇹🇭 Thailand 3535 | 🇹🇯 Tajikistan 3536 | 🇹🇰 Tokelau 3537 | 🇹🇱 Timor-Leste 3538 | 🇹🇲 Turkmenistan 3539 | 🇹🇳 Tunisia 3540 | 🇹🇴 Tonga 3541 | 🇹🇷 Turkey 3542 | 🇹🇹 Trinidad & Tobago 3543 | 🇹🇻 Tuvalu 3544 | 🇹🇼 Taiwan 3545 | 🇹🇿 Tanzania 3546 | 🇺🇦 Ukraine 3547 | 🇺🇬 Uganda 3548 | 🇺🇲 U.S. Outlying Islands 3549 | 🇺🇳 United Nations 3550 | 🇺🇸 United States 3551 | 🇺🇾 Uruguay 3552 | 🇺🇿 Uzbekistan 3553 | 🇻🇦 Vatican City 3554 | 🇻🇨 St. Vincent & Grenadines 3555 | 🇻🇪 Venezuela 3556 | 🇻🇬 British Virgin Islands 3557 | 🇻🇮 U.S. Virgin Islands 3558 | 🇻🇳 Vietnam 3559 | 🇻🇺 Vanuatu 3560 | 🇼🇫 Wallis & Futuna 3561 | 🇼🇸 Samoa 3562 | 🇽🇰 Kosovo 3563 | 🇾🇪 Yemen 3564 | 🇾🇹 Mayotte 3565 | 🇿🇦 South Africa 3566 | 🇿🇲 Zambia 3567 | 🇿🇼 Zimbabwe 3568 | 🏴󠁧󠁢󠁥󠁮󠁧󠁿 England 3569 | 🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland 3570 | 🏴󠁧󠁢󠁷󠁬󠁳󠁿 Wales -------------------------------------------------------------------------------- /src/Procedures/SentiText.php: -------------------------------------------------------------------------------- 1 | text = $text; 27 | $this->words_and_emoticons = $this->_words_and_emoticons(); 28 | // doesn't separate words from\ 29 | // adjacent punctuation (keeps emoticons & contractions) 30 | $this->is_cap_diff = $this->allcap_differential($this->words_and_emoticons); 31 | } 32 | 33 | /* 34 | Remove all punctation from a string 35 | */ 36 | function strip_punctuation($string) 37 | { 38 | //$string = strtolower($string); 39 | return preg_replace("/[[:punct:]]+/", "", $string); 40 | } 41 | 42 | function array_count_values_of($haystack, $needle) 43 | { 44 | if (!in_array($needle, $haystack, true)) { 45 | return 0; 46 | } 47 | $counts = array_count_values($haystack); 48 | return $counts[$needle]; 49 | } 50 | 51 | /* 52 | Check whether just some words in the input are ALL CAPS 53 | 54 | :param list words: The words to inspect 55 | :returns: `True` if some but not all items in `words` are ALL CAPS 56 | */ 57 | private function allcap_differential($words) 58 | { 59 | 60 | $is_different = false; 61 | $allcap_words = 0; 62 | foreach ($words as $word) { 63 | //ctype is affected by the local of the processor see manual for more details 64 | if (ctype_upper($word)) { 65 | $allcap_words += 1; 66 | } 67 | } 68 | $cap_differential = count($words) - $allcap_words; 69 | if ($cap_differential > 0 && $cap_differential < count($words)) { 70 | $is_different = true; 71 | } 72 | return $is_different; 73 | } 74 | 75 | function _words_only() 76 | { 77 | $text_mod = $this->strip_punctuation($this->text); 78 | // removes punctuation (but loses emoticons & contractions) 79 | $words_only = preg_split('/\s+/', $text_mod); 80 | # get rid of empty items or single letter "words" like 'a' and 'I' 81 | $works_only = array_filter($words_only, function ($word) { 82 | return strlen($word) > 1; 83 | }); 84 | return $words_only; 85 | } 86 | 87 | function _words_and_emoticons() 88 | { 89 | 90 | $wes = preg_split('/\s+/', $this->text); 91 | 92 | # get rid of residual empty items or single letter words 93 | $wes = array_filter($wes, function ($word) { 94 | return strlen($word) > 1; 95 | }); 96 | //Need to remap the indexes of the array 97 | $wes = array_values($wes); 98 | $words_only = $this->_words_only(); 99 | 100 | foreach ($words_only as $word) { 101 | foreach (self::PUNC_LIST as $punct) { 102 | //replace all punct + word combinations with word 103 | $pword = $punct .$word; 104 | 105 | 106 | $x1 = $this->array_count_values_of($wes, $pword); 107 | while ($x1 > 0) { 108 | $i = array_search($pword, $wes, true); 109 | unset($wes[$i]); 110 | array_splice($wes, $i, 0, $word); 111 | $x1 = $this->array_count_values_of($wes, $pword); 112 | } 113 | //Do the same as above but word then punct 114 | $wordp = $word . $punct; 115 | $x2 = $this->array_count_values_of($wes, $wordp); 116 | while ($x2 > 0) { 117 | $i = array_search($wordp, $wes, true); 118 | unset($wes[$i]); 119 | array_splice($wes, $i, 0, $word); 120 | $x2 = $this->array_count_values_of($wes, $wordp); 121 | } 122 | } 123 | } 124 | 125 | return $wes; 126 | } 127 | } 128 | --------------------------------------------------------------------------------