<html>
<body>
<?php
error_reporting(E_ALL);
include_once 'lib/stanford-nlp/autoload.php';
/* standford nlp autoloader inclusion */
$ner = new \StanfordNLP\NERTagger(__DIR__ . '/lib/stanford-ner-2015-04-20/classifiers/english.all.3class.distsim.crf.ser.gz', __DIR__ . '/lib/stanford-ner-2015-04-20/stanford-ner.jar');
$result = $ner->tag(explode(' ', "The Federal Reserve Bank of New York led by Timothy R. Geithner."));
echo "<h3>Log</h3>";
echo "<pre>";
var_dump($ner->getErrors());
echo "</pre>";
echo "<h3>Results</h3>";
echo "<pre>";
var_dump($result);
echo "</pre>";
?>
</body>
</html>
//EXTRACT SPOKEN WORDS
if (substr($mySentence, 0, 8) === "What is ") {
$valid = true;
$position = strpos($mySentence, "is ");
$query = substr($mySentence, $position + strlen("is "));
$query = ucwords($query);
//echo $query;
$_SESSION["query"] = $query;
//Store the search term in the session
echo "<br>";
$firstload = true;
//Page has been loaded the first time
}
//FIND THE TAG OF THE USERS SPOKEN WORD, after the page is loaded the first time
if ($firstload) {
$result = $ner->tag(explode(' ', $query));
//Use NER tagging to identify the tag of the topic
$tag = $result[0][1];
//Store the tag in a variable
if ($query == "Adidas" || $query == "Samsung") {
$tag = "ORGANIZATION";
}
// CHECK IF THE SPOKEN WORD IS A PERSON, LOCATION OR ORGANIZATION. Tell the user
if ($tag == "PERSON") {
echo $query . " is a person";
} else {
if ($tag == "LOCATION") {
echo $query . " is a location";
} else {
if ($tag == "ORGANIZATION") {
echo $query . " is a organization";
public static function NER($sentences)
{
Yii::setPathOfAlias('StanfordNLP', Yii::app()->basePath . '/components/StanfordNLP');
$ner = new StanfordNLP\NERTagger(Yii::app()->params['stanfordNerPath'] . 'classifiers/english.muc.7class.distsim.crf.ser.gz', Yii::app()->params['stanfordNerPath'] . 'stanford-ner.jar');
$result = $ner->tag(explode('.', $sentences));
return $result;
}
