function sentiment_analysis_post($text)
{
// sentiment analysis on sentence base - phpInsight & SentimentAnalysis
$sentenceArray = explode(". ", $text);
// insight & SA
// require_once __DIR__ . '/sentiment/src/test/style.php';
require_once __DIR__ . '/insight/autoload.php';
$sentiment = new \PHPInsight\Sentiment();
//foreach ($strings as $string) {
// calculations:
$sentences = explode(". ", $text);
$counter = 0;
foreach ($sentences as $sentence) {
$counter++;
if (strlen(trim($sentence))) {
$scores = $sentiment->score($sentence);
$class = $sentiment->categorise($sentence);
// output:
if ($class == "pos") {
$result += 3 + $scores[pos] * 5;
} else {
$result += $scores[pos] * 5;
}
//echo $result/$counter;
return $result / $counter;
}
}
}
function getSentimentClass($hasil)
{
$sentiment = new \PHPInsight\Sentiment();
// calculations:
$scores = $sentiment->score($hasil);
$class = $sentiment->categorise($hasil);
if ($class == 'neg') {
$class = 'buruk';
} elseif ($class == 'pos') {
$class = 'baik';
} elseif ($class == 'neu') {
$class = 'netral';
}
// output:
// echo "String: $hasil\n";
// echo "Dominant: $class, scores: ";
// print_r($scores);
// echo "\n";
return $class;
}
function sentimentAnalysis()
{
echo "<br><br>";
echo "<h1>Sentiment analysis</h1>";
require_once __DIR__ . '/libs/sentimentAnalysis/autoload.php';
$strings = array(1 => 'Weather today is rubbish', 2 => 'This cake looks amazing', 3 => 'His skills are mediocre', 4 => 'He is very talented', 5 => 'She is seemingly very agressive', 6 => 'Marie was enthusiastic about the upcoming trip. Her brother was also passionate about her leaving - he would finally have the house for himself.', 7 => 'To be or not to be?', 8 => "Sad");
$sentiment = new \PHPInsight\Sentiment();
foreach ($strings as $string) {
// calculations:
$scores = $sentiment->score($string);
$class = $sentiment->categorise($string);
// output:
echo "String: {$string}\n";
echo "Dominant: {$class}, scores: ";
print_r($scores);
echo "<br><br>";
}
}
function getScore($comment)
{
require __DIR__ . '/vendor/autoload.php';
require_once __DIR__ . '/libs/sentimentAnalysis/autoload.php';
//Translate first
$tr = new TranslateClient();
// Default is from 'auto' to 'en'
//$tr->setSource('it');
//$tr->setTarget('en');
$comment = $tr->translate($comment);
//Calculate sentiment
$sentiment = new \PHPInsight\Sentiment();
// calculations:
$scores = $sentiment->score($comment);
$class = $sentiment->categorise($comment);
$toReturn['dom'] = $class;
$toReturn['pos'] = $scores['pos'];
$toReturn['neg'] = $scores['neg'];
$toReturn['neu'] = $scores['neu'];
return $toReturn;
}
public function get_stem()
{
require_once app_path() . '/library/PHPInsight/autoload.php';
$stemmerFactory = new \Sastrawi\Stemmer\StemmerFactory();
$sentiment = new \PHPInsight\Sentiment();
$stemmer = $stemmerFactory->createStemmer();
$getdata = DB::collection('scraping')->orderBy('id', 'asc')->get();
foreach ($getdata as $key) {
$output = $stemmer->stem($key['article']);
$scores = $sentiment->score($output);
$class = $sentiment->categorise($output);
$update = new Classifying();
$update->category = $class;
$update->article = $key['article'];
$update->user_validation = "";
$update->title = "";
$update->scraping_id = $key['_id'];
$update->classifier = "new";
$update->save();
echo "<pre>" . $output . "</pre>";
echo "<blockquote>" . $class . "</blockquote>";
echo "<br><hr>";
}
}
//STRIP THE HASHTAG CHARACTER FROM THE STRING
if (stripos($mySentence, $strippedhashtag) !== false) {
$valid = true;
echo "<br>";
speak("More detailed information about {$strippedhashtag} is shown below");
echo "<br><br>";
$contents = $connection->get("https://api.twitter.com/1.1/search/tweets.json?q=" . $strippedhashtag . "&result_type=recent&locate=en&count=100");
$decode = $contents;
$_SESSION['detailedtweets'] = $decode;
foreach ($decode->statuses as $result) {
$onehourago = date("H:i:s", time() - 3600);
$createdtime = strtotime($result->created_at);
$formattedcreatedtime = date("H:i:s", $createdtime);
if ($formattedcreatedtime > $onehourago) {
$tweetText = $result->text;
$scores = $sentiment->score($tweetText);
//Sentimental analysis of tweets
$class = $sentiment->categorise($tweetText);
echo $formattedcreatedtime . "<br>";
$totalTweetText .= $tweetText . " ";
//SUPERVISED LEARNING PATTERN IMPLEMENTATION
if (stripos($tweetText, "can't") !== false && stripos($tweetText, "cute") !== false) {
$class = "positive";
} else {
if (stripos($tweetText, "no") === false && stripos($tweetText, "cute") !== false) {
$class = "positive";
} else {
if (stripos($tweetText, "sad") === false && stripos($tweetText, "can't") !== false && stripos($tweetText, "wait") !== false) {
$class = "positive";
}
}
$neg_tot = 0;
$neu_tot = 0;
$pos_cnt = 0;
$neg_cnt = 0;
$neu_cnt = 0;
$cnt = 0;
$chrt_jsn = '[';
foreach ($results->statuses as $result) {
$tmp = $result->text;
$tmp = str_replace(" ", " ", $tmp);
$tmp = str_replace("http://t.co/[a-z,A-Z,0-9]*{8}", "", $tmp);
$tmp = str_replace("RT @[a-z,A-Z]*: ", "", $tmp);
$tmp = str_replace("#[a-z,A-Z]*", "", $tmp);
$tmp = str_replace("@[a-z,A-Z]*", "", $tmp);
array_push($twt, $tmp);
$scores = $sentiment->score($tmp);
$class = $sentiment->categorise($tmp);
$chrt_jsn = $chrt_jsn . '{
"Tweet":"' . $cnt . '","POS":' . $scores["pos"] . ',"NEU":' . $scores["neu"] . ',"NEG":' . $scores["neg"] . '},';
$cnt += 1;
if ($class == 'pos') {
$pos_cnt += 1;
$pos_tot += $scores["pos"];
} else {
if ($class == 'neg') {
$neg_cnt += 1;
$neg_tot += $scores["neg"];
} else {
$neu_cnt += 1;
$neu_tot += $scores["neu"];
}
<?php
if (PHP_SAPI != 'cli') {
echo "<pre>";
}
$strings = array(1 => 'Weather today is rubbish', 2 => 'This cake looks amazing', 3 => 'His skills are mediocre', 4 => 'He is very talented', 5 => 'She is seemingly very agressive', 6 => 'Marie was enthusiastic about the upcoming trip. Her brother was also passionate about her leaving - he would finally have the house for himself.', 7 => 'To be or not to be?');
require_once __DIR__ . '/../autoload.php';
$sentiment = new \PHPInsight\Sentiment();
foreach ($strings as $string) {
// calculations:
$scores = $sentiment->score($string);
$class = $sentiment->categorise($string);
// output:
echo "String: {$string}\n";
echo "Dominant: {$class}, scores: ";
print_r($scores);
echo "\n";
}
<?php
if (PHP_SAPI != 'cli') {
echo "<pre>";
}
$text = "Loved it! My wife and I just saw it today and were pleasantly surprised! I'm not sure what some of these reviewers are talking about. It's a very creative and really intelligent film. I loved all the twisted science and art direction they used. The story and characters were interesting and made you excited to see what would happen next. I won't give any details but if you appreciate movies that make you delve a little deeper than what's on the surface, you'll like this movie too. It's not your ordinary mindless adventure.";
require_once __DIR__ . '/../autoload.php';
$sentiment = new \PHPInsight\Sentiment();
//foreach ($strings as $string) {
// calculations:
$sentences = explode(". ", $text);
$counter = 0;
foreach ($sentences as $sentence) {
$counter++;
if (strlen(trim($sentence))) {
$scores = $sentiment->score($sentence);
$class = $sentiment->categorise($sentence);
// output:
echo "String: {$sentence}\n";
echo "Dominant: {$class}, scores: ";
print_r($scores);
echo "\n";
if ($class == "pos") {
$result += 3 + $scores[pos] * 5;
} else {
$result += $scores[pos] * 5;
}
echo $result / $counter;
}
}
function sentiment_analysis($text)
{
$servername = "engr-cpanel-mysql.engr.illinois.edu";
$username = "******";
$password = "******";
$dbname = "backpack_user";
$conn = new mysqli($servername, $username, $password, $dbname);
$htmlTagArray = ["<div>", '</div>', "<p>", "</p>", "<h1>", "</h1>", "<h2>", "</h2>", "<h3>", "</h3>", "<h4>", "</h4>", "<h5>", "</h5>", "<h6>", "</h6>", "<a>", "</a>", "<b>", "</b>", "<br>", "</br>", "!", "?", ";", "@", "#", "\$", "%", "^", "&", "*", "(", ")", "<em>", "</em>", "<article>", "</article>", "<aside>", "</aside>", "<base>", "</base>", "<strong>", "</strong>", "<i>", "</i>", "<dt>", "</dt>", "<dd>", "</dd>", "<blockquote>", "</blockquote>", "<ul>", "</ul>", "<li>", "</li>", "<figure>", "</figure>", "<ol>", "</ol>", "<br>", "<br />", '\\n'];
//$text = mysqli_real_escape_string($conn,$text);
//echo $text;
// clear crawled data
foreach ($htmlTagArray as $htmlTag) {
$text = str_replace($htmlTag, ".", $text);
}
$text = preg_replace('/<\\/?a[^>]*>/', ' ', $text);
$text = preg_replace('/<\\/?img[^>]*>/', ' ', $text);
$text = preg_replace('/<\\/?audio[^>]*>/', ' ', $text);
$description = preg_replace("/\r\n|\r|\n/", '', $description);
$text = str_replace("..", ". ", $text);
$text = str_replace(". .", ". ", $text);
$text = str_replace(" .", ". ", $text);
$text = str_replace("..", ". ", $text);
$text = str_replace(". .", ". ", $text);
$text = str_replace(" .", ". ", $text);
$text = str_replace(".,", ",", $text);
echo $text;
//$len = strlen( $text );
//for( $i = 0; $i <= $len; $i++ ) {
// $char = substr( $text, $i, 1 );
// if($char=='"'|| $char=='''){
// }
//}
// sentiment analysis on sentence base - phpInsight & SentimentAnalysis
$sentenceArray = explode(".", $text);
// insight & SA
// require_once __DIR__ . '/sentiment/src/test/style.php';
require_once __DIR__ . '/sentiment/src/SentimentAnalyzer.php';
require_once __DIR__ . '/insight/autoload.php';
$insightVer = new \PHPInsight\Sentiment();
$sat = new SentimentAnalyzerTest(new SentimentAnalyzer());
$positive = 0;
$negative = 0;
$counter = 0;
$sat->trainAnalyzer('/home/backpacker/public_html/sentiment/trainingSet/data.neg', 'negative', 5000);
//training with negative data
$sat->trainAnalyzer('/home/backpacker/public_html/sentiment/trainingSet/data.pos', 'positive', 5000);
//training with positive data
$text = mb_convert_encoding($text, "UTF-8");
foreach ($sentenceArray as $sentence) {
if (strlen(trim($sentence))) {
$sentimentAnalysisOfSentence1 = $sat->analyzeSentence($sentence);
$resultofAnalyzingSentence1 = $sentimentAnalysisOfSentence1['sentiment'];
$probabilityofSentence1BeingPositive = $sentimentAnalysisOfSentence1['accuracy']['positivity'];
$probabilityofSentence1BeingNegative = $sentimentAnalysisOfSentence1['accuracy']['negativity'];
$scoresSA = $probabilityofSentence1BeingPositive - $probabilityofSentence1BeingNegative;
if ($scoresSA > 0.8) {
$positive += 5;
} else {
if ($scoresSA > 0.6) {
$positive += 4;
} else {
if ($scoresSA > 0.4) {
$positive += 3;
} else {
if ($scoresSA > 0.2) {
$positive += 2;
} else {
if ($scoresSA > 0.0) {
$positive += 1;
} else {
if ($scoresSA > -0.2) {
$negative += 1;
} else {
if ($scoresSA > -0.4) {
$negative += 2;
} else {
if ($scoresSA > -0.6) {
$negative += 3;
} else {
if ($scoresSA > -0.8) {
$negative += 4;
} else {
if ($scoresSA > -1.0) {
$negative += 5;
}
}
}
}
}
}
}
}
}
}
$scoresInsight = $insightVer->score($sentence);
$classInsight = $insightVer->categorise($sentence);
$positive += ($scoresInsight[pos] + $scoresInsight[neu] / 2) * 5;
//positiveness rated by 5
$negative += ($scoresInsight[neg] + $scoresInsight[neu] / 2) * 5;
//negativeness rated by 5
// $neutural += $scoresInsight[neu];
//echo "sentence: ".$sentence."<br>";
//echo "SA positiveness: ".$probabilityofSentence1BeingPositive." negativeness: ".$probabilityofSentence1BeingNegative."<br>";
//echo "Insight positiveness: ".$scoresInsight[pos]." negativeness: ".$scoresInsight[neg]." neuturalness: ".$scoresInsight[neu]."<br><br>";
}
$counter++;
}
$positive = $positive / (2 * $counter);
$negative = -$negative / (2 * $counter);
if ($positive + $negative >= 0) {
//echo $positive;
return $positive * 2.5 + 5;
} else {
//echo $negative;
return $negative * 2.5 + 5;
}
//$negative=$negative/$counter;
//echo $counter."<br>";
//echo "resultant postiveness: ".$positive."<br>";
//echo "resultant negativeness: ".$negative."<br>";
}
