function tag_the_content($the_text)
{
$time_start = microtime(true);
// sets DIR path variable
$dir = dirname(__FILE__);
// loads tagger
include $dir . '/PHP-Stanford-NLP/autoload.php';
// creates tagger
$pos = new \StanfordNLP\POSTagger($dir . '/PHP-Stanford-NLP/stanford-postagger-2015-04-20/models/english-left3words-distsim.tagger', $dir . '/PHP-Stanford-NLP/stanford-postagger-2015-04-20/stanford-postagger.jar');
// calls tagger to tag the_content
// $result = $pos->tag(explode(' ', get_the_content() )); // *** change back to this in production ***
$result = $pos->tag(explode(' ', $the_text));
// echo json_encode($result);
return $result;
}
$pos++;
break;
case "neg":
$neg++;
break;
}
}
}
//Calculate percentages for each opinion type
$total = $pos + $neg + $neu;
$posPercent = round($pos / $total * 100);
$negPercent = round($neg / $total * 100);
$neuPercent = round($neu / $total * 100);
speak("{$posPercent} % positive, {$negPercent} % negative, {$neuPercent} % neutral");
//FIND TEN MOST REPRESENTATIVE NOUNS AND SPEAK THEM, USES POS TAGGING
$result = $pos->tag(explode(' ', $totalTweetText));
foreach ($result as $inner_arr) {
$value = $inner_arr[1];
if (stripos($value, "NN") !== false) {
$allnouns .= $inner_arr[0] . " ";
//String of all nouns
}
}
$popularnouns = array_count_values(explode(' ', $allnouns));
arsort($popularnouns);
$toptensortednouns = array_slice($popularnouns, 0, 10);
$keys = array_keys($toptensortednouns);
//Store the hashtags in an array
echo "<br><br>";
speak("The most representative nouns on this topic are: ");
echo "<br>";
