composer require davmixcool/php-sentiment-analyzer

Use Sentiment\Analyzer;
$analyzer = new Analyzer(); 

$output_text = $analyzer->getSentiment("David is smart, handsome, and funny.");

$output_emoji = $analyzer->getSentiment("😁");

$output_text_with_emoji = $analyzer->getSentiment("Aproko doctor made me 🤣.");

print_r($output_text);
print_r($output_emoji);
print_r($output_text_with_emoji);

David is smart, handsome, and funny. ---------------- ['neg'=> 0.0, 'neu'=> 0.337, 'pos'=> 0.663, 'compound'=> 0.7096]

😁 ------------------- ['neg' => 0, 'neu' => 0.5, 'pos' => 0.5, 'compound' => 0.4588]

Aproko doctor made me 🤣 ------------- ['neg' => 0, 'neu' => 0.714, 'pos' =>  0.286, 'compound' => 0.4939]

Use Sentiment\Analyzer;

$sentiment = new Sentiment\Analyzer();

$strings = [
    'Weather today is rubbish',
    'This cake looks amazing',
    'His skills are mediocre',
    'He is very talented',
    'She is seemingly very agressive',
    'Marie was enthusiastic about the upcoming trip. Her brother was also passionate about her leaving - he would finally have the house for himself.',
    'To be or not to be?',
];

//new words not in the dictionary
$newWords = [
    'rubbish'=> '-1.5',
    'mediocre' => '-1.0',
    'agressive' => '-0.5'
];

//Dynamically update the dictionary with the new words
$sentiment->updateLexicon($newWords);

//Print results
foreach ($strings as $string) {
    // calculations:
    $scores = $sentiment->getSentiment($string);
    // output:
    echo "String: $string\n";
    print_r(json_encode($scores));
    echo "<br>";
}

Weather today is rubbish  ------------- {"neg":0.455,"neu":0.545,"pos":0,"compound":-0.3612} 

This cake looks amazing  ------------- {"neg":0,"neu":0.441,"pos":0.559,"compound":0.5859}

His skills are mediocre  ------------- {"neg":0.4,"neu":0.6,"pos":0,"compound":-0.25}

He is very talented  ------------- {"neg":0,"neu":0.457,"pos":0.543,"compound":0.552}

She is seemingly very agressive  ------------- {"neg":0.338,"neu":0.662,"pos":0,"compound":-0.2598}

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}

String: To be or not to be?  ------------- {"neg":0,"neu":1,"pos":0,"compound":0}