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<?php/*
 * google_natural_language_sentiment_analysis.php
 *
 * @(#) $Id: google_natural_language_sentiment_analysis.php,v 1.7 2024/01/10 11:21:43 mlemos Exp $
 *
 */
 
 /*
 *  Get the http.php file from http://www.phpclasses.org/httpclient
 */
 require('http.php');
 require('oauth_client.php');
 
 /*
 * Initialize the OAuth client class.
 *
 */
 $client = new oauth_client_class;
 $client->server = 'Google';
 
 /*
 * Set the debug variable to true only if there is something wrong you
 * need to understand and fix.
 *
 */
 $client->debug = false;
 $client->debug_http = true;
 $client->redirect_uri = 'https://'.$_SERVER['HTTP_HOST'].
 dirname(strtok($_SERVER['REQUEST_URI'],'?')).'/google_natural_language_sentiment_analysis.php';
 
 /*
 * Set the client_id and client_secret with credentials obtained from the Google Cloud Console
 *
 */
 $client->client_id = ''; $application_line = __LINE__;
 $client->client_secret = '';
 
 if(strlen($client->client_id) == 0
 || strlen($client->client_secret) == 0)
 die('Please go to Google APIs console page '.
 'https://console.cloud.google.com/apis/library/language.googleapis.com in the API access tab, '.
 'create a new client ID, and in the line '.$application_line.
 ' set the client_id to Client ID and client_secret with Client Secret. '.
 'The callback URL must be '.$client->redirect_uri.' but make sure '.
 'the domain is valid and can be resolved by a public DNS.');
 
 /* API permissions
 */
 $client->scope = 'https://www.googleapis.com/auth/cloud-language'.' '.
 'https://www.googleapis.com/auth/userinfo.profile';
 
 /*
 * Initialize and call the PHP OAuth client class to call the Google
 * Natural Language API.
 *
 */
 if(($success = $client->Initialize()))
 {
 if(($success = $client->Process()))
 {
 if(strlen($client->authorization_error))
 {
 $client->error = $client->authorization_error;
 $success = false;
 }
 elseif(strlen($client->access_token))
 {
 /*
 * Call the Google account user profile API to get the user name
 *
 */
 $success = $client->CallAPI(
 'https://www.googleapis.com/oauth2/v1/userinfo',
 'GET', array(), array('FailOnAccessError'=>true), $user);
 if($success)
 {
 /*
 * Check if the form to enter the text to analyzed
 * was submitted.
 *
 */
 if(IsSet($_POST['text']))
 {
 /*
 * Compose the object with the details for the
 * sentiment analysis API call.
 *
 */
 $document = new stdClass;
 $document->content = $_POST['text'];
 $document->language = 'en';
 $document->type = 'PLAIN_TEXT';
 $sentiment_analysis_request = new stdClass;
 $sentiment_analysis_request->document = $document;
 $sentiment_analysis_request->encodingType = 'UTF8';
 
 /*
 * Send the sentiment analysis API call.
 *
 */
 $success = $client->CallAPI(
 'https://language.googleapis.com/v1/documents:analyzeSentiment',
 'POST', array(), array(
 'FailOnAccessError'=>true,
 'RequestContentType'=>'application/json',
 'RequestBody'=>json_encode($sentiment_analysis_request),
 ), $sentiment_analysis);
 }
 }
 }
 }
 $success = $client->Finalize($success);
 }
 if($client->exit)
 exit;
 if($success)
 {
 /*
 * If all went well, display the page with the sentiment analysis
 * results and a form to let the user enter a new text message to
 * analyze.
 *
 */
 ?>
 <!DOCTYPE HTML>
 <html lang="en">
 <head>
 <meta http-equiv="content-type" content="text/html; charset=UTF-8">
 <title>Google Natural Language Sentiment Analysis</title>
 </head>
 <body>
 <h1>Google Natural Language Sentiment Analysis</h1>
 <?php
 if($client->debug)
 {
 /*
 * Show the Google user account API call results in debug
 * mode.
 *
 */
 echo '<h1>', HtmlSpecialChars($user->name),
 ', you have logged in successfully with Google!</h1>';
 echo '<pre>', HtmlSpecialChars(print_r($user, 1)), '</pre>';
 echo '<pre>Access token: ', HtmlSpecialChars($client->access_token), '</pre>';
 }
 
 /*
 * If the user submitted the form to analyse the sentiments of a
 * text message, display the results.
 *
 */
 if(IsSet($_POST['text']))
 {
 $analyze_sentiment_score = function($score)
 {
 if($score >= 0.8)
 return 'Clearly Positive';
 if($score > 0.1)
 return 'Positive';
 if($score <= -0.8)
 return 'Clearly Negative';
 if($score < -0.1)
 return 'Negative';
 if($score != 0)
 return 'Neutral';
 return 'Mixed';
 };
 if($client->debug)
 echo '<pre>', HtmlSpecialChars(print_r($sentiment_analysis, 1)), '</pre>';
 echo '<h2>Results:</h2>',"\n";
 $sentences = count($sentiment_analysis->sentences);
 echo '<h3>Sentences: ', $sentences, '</h3>',"\n";
 $score = $sentiment_analysis->documentSentiment->score;
 echo '<p>Sentiment score: ', $score, ' ', $analyze_sentiment_score($score), '</p>',"\n";
 for($sentence = 0; $sentence < $sentences; ++$sentence)
 {
 echo '<h3>Sentence ', ($sentence + 1), ': ', HtmlSpecialChars($sentiment_analysis->sentences[$sentence]->text->content), '</h3>';
 $score = $sentiment_analysis->sentences[$sentence]->sentiment->score;
 echo '<p>Sentiment score: ', $score, ' ', $analyze_sentiment_score($score), '</p>',"\n";
 }
 }
 
 /*
 * Show a form to let the user enter a text message to analyse the
 * user sentiments.
 *
 */
 ?>
 <form method="POST">
 <h2><?php echo HtmlSpecialChars($user->name); ?>, please enter a text to analyze:</h2>
 <div>
 <textarea name="text" rows="6" cols="60"><?php
 if(IsSet($_POST['text']))
 {
 echo HtmlSpecialChars($_POST['text']);
 }
 ?>
 </textarea>
 </div>
 <div>
 <input type="submit" value="Analyze">
 </div>
 </form>
 </body>
 </html>
 <?php
 }
 else
 {
 ?>
 <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
 <html>
 <head>
 <title>OAuth client error</title>
 </head>
 <body>
 <h1>OAuth client error</h1>
 <pre>Error: <?php echo HtmlSpecialChars($client->error); ?></pre>
 </body>
 </html>
 <?php
 }
 
 ?>
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